extract_methods

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

Since annotations are absent, the description carries the full burden and does substantial work: it discloses that the tool fetches full text, isolates methods sections, calls an external Claude model, validates against a Pydantic schema, performs one repair attempt, and requires ANTHROPIC_API_KEY. These are behavioral traits an agent needs to anticipate dependencies and side effects.

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?

The description front-loads the core purpose, then moves through process and prerequisites in three compact paragraphs. No filler or repetition of the tool name.

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?

The description covers the pipeline, validation/repair behavior, and auth prerequisite, and an output schema exists so return semantics needn't be restated. However, it leaves the required input parameter semantically ambiguous, which is a meaningful gap for invoking the tool correctly.

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% and the description only partially compensates: it mentions the default model (claude-sonnet-4-6) but never defines the required input_str (e.g., paper ID vs plain text) or the effect of passing a custom model. An agent cannot confidently populate parameters from this definition alone.

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 ('Extract') and resource ('structured methods object') plus source ('a paper'), and names output components (steps, reagents, equipment, analyses). It is clearly distinguishable from sibling tools like summarize_paper and fetch_paper_text.

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?

The description makes the general use case clear (extracting structured methods), but it never explicitly says when to prefer this over siblings such as fetch_paper_text or methods_repro_review, and it gives no exclusion criteria. Usage is implied from the purpose rather than explicitly guided.

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