Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The $0.05 fixed price per call is genuinely useful context that the annotations do not convey, and it explains the readOnlyHint=false billing side effect. However, nothing is said about input size limits, what the failure-pattern output looks like, or why the call is non-idempotent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the core action and cost, which is good. But the third sentence ('Spotting the real error in a noisy log') largely restates the first and adds no new information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description must carry the burden of explaining the return value, and it does not. Combined with undocumented parameters and no usage routing against similar diagnostic tools, the definition is under-specified for a paid analysis tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for two parameters. The description implies the 'logs' input via 'log excerpt' but never explains its format, size expectations, or what the optional 'context' parameter is for — a real gap the description should have filled.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: find the failure pattern in a log excerpt. The scope (log excerpt, noisy logs) distinguishes it from siblings like fikra_debug_sql or fikra_diagnose_api_error, though it never names those alternatives explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance. With close siblings such as fikra_debug_sql, fikra_diagnose_api_error, and fikra_explain_json in the catalog, the agent is left to infer which tool suits a given troubleshooting input.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.