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CCAR-F Common Misconceptions

Twenty-six misconceptions with corrections. Each maps to objectives in registry.yaml. Product facts are as of 2026-10-24.

# Misconception Correction Objective
1 "If the response contains text, the agent has finished." Claude often writes text and requests a tool in the same turn. Control the loop with stop_reason: continue on tool_use, finish on end_turn, handle the rest explicitly. 1.1
2 "An iteration cap is a good way to end the loop." A cap is a safety net. The normal end is end_turn; a cap as the main mechanism truncates complex tasks and wastes calls on simple ones. 1.1
3 "Subagents can see what the coordinator has already learned." A subagent starts with a fresh context (unless it is a fork). Everything it needs must be in its brief. 1.2, 1.3
4 "A coordinator should run every subagent so nothing is missed." Select subagents by request complexity; fan-out multiplies tokens and latency. 1.2
5 "Subagents run in parallel whenever there are several of them." The coordinator must emit several Agent tool calls in one response; calls made across separate turns run one after another. 1.3
6 "The subagent tool is called Task." The v1.0 exam guide uses "Task". Current SDKs use the Agent tool in tool_use blocks; the init tool list still shows Task. Same mechanism. 1.3
7 "allowedTools limits an agent to the listed tools." It auto-approves those tools. Restrict with a subagent's tools list, disallowedTools, --tools, or deny rules. 1.3, 2.3
8 "A clear system-prompt rule is enough for compliance steps." Prompt guidance has a non-zero failure rate. Use hooks or server-side checks when the rule must always hold. 1.4, 1.5
9 "Resuming a session is always better than starting over." Resume when earlier context is still valid. If many tool results are stale, start fresh with a structured summary; if a few files changed, resume and name them. 1.7
10 "Forking a session also branches my files." Sessions hold conversation, not filesystem state. A fork that edits files changes the real files. 1.7
11 "Tool names matter more than descriptions." Descriptions are the main selection signal: purpose, when to use versus neighbours, inputs, outputs and limits. 2.1
12 "Any tool failure should be a protocol error." In MCP, failures the model can act on (bad input, timeouts, business rules) are tool results with isError: true; protocol errors are for malformed requests and unknown tools. 2.2
13 "errorCategory and isRetryable are MCP fields." Only isError is in the specification. Category and retryability are a payload convention you design so the agent can choose a recovery path. 2.2
14 "No matches is an error." A query that ran and found nothing is a successful empty result. Reporting it as an error triggers pointless retries; reporting a timeout as empty causes false negatives. 2.2, 5.3
15 "tool_choice: any guarantees a tool call on every model." It returns a 400 on Claude Opus 5.5, Sonnet 5.5, Fable 5.1 and Mythos 5.1 (Haiku 5.5 accepts it). Use auto plus an instruction and strict: true, or structured outputs. 2.3, 4.3
16 "Secrets for a shared MCP server must be committed so everyone has them." Use ${VAR} expansion in .mcp.json; each person or CI job supplies the variable. 2.4
17 "Personal ~/.claude/CLAUDE.md instructions apply to the whole team." User-level files are local to one person. Team conventions go in the project CLAUDE.md or .claude/rules/. 3.1
18 "Nearer CLAUDE.md files override broader ones." Files are concatenated, not overridden. Conflicting instructions confuse Claude; remove contradictions. 3.1
19 "allowed-tools in a skill restricts it to those tools." It pre-approves them for the invoking turn. Use disallowed-tools to remove tools while the skill is active. 3.2
20 "A subdirectory CLAUDE.md is the best place for file-type conventions." For conventions that follow a file type across directories, a .claude/rules/ file with paths globs is better. 3.3
21 "Plan mode is always the safer choice." It costs time. Use it for multi-file, multi-option or architectural work; act directly on small, well-understood fixes. 3.4
22 "The session that wrote the code is the best reviewer because it knows the intent." It carries its own reasoning and tends to confirm it. Use an independent instance. 3.6, 4.6
23 "Telling the model to be conservative reduces false positives." Explicit report/skip criteria, severity definitions and contrasting examples do; adjectives do not. 4.1
24 "A strict schema means the data is correct." It guarantees shape, not truth. Validate sums, dates and cross-field rules in code and retry with specific errors. 4.3, 4.4
25 "Batches are the cheap default for any workload." Batches are half price but can take up to 24 hours and cannot continue a tool loop inside a request. Use them for latency-tolerant work only. 4.5
26 "96% overall accuracy means we can drop human review." Aggregates hide weak document types and fields. Measure per segment, calibrate confidence on labelled data and keep stratified sampling. 5.5

See the decision scenarios for worked examples of several of these, and the readiness assessment to find which ones you still hold.