get_chapter_section

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

The description reveals that the tool returns text and associated images, which is a meaningful behavioral disclosure. However, with no annotations provided, the description carries the full burden and does not mention failure behavior, how context_level affects the output, or how images are delivered. Since this is a read operation, destructive behavior is not a concern, but the rest of the behavioral profile is thin.

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 is a single front-loaded sentence with no filler; every clause adds useful information about the target scope and returned contents. It is appropriately concise, though the brevity comes at the cost of contextual completeness.

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?

There is no output schema, and the description only says 'text and associated images,' leaving ambiguous the output format and what granularity 'specific section' means. It does not explain how the context_level parameter (brief/detailed/comprehensive) alters results, nor does it distinguish this tool from get_chapter_text or extract_chapter_content. A more complete description would need a usage example and a note on when to choose this over siblings.

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 100%, so all four parameters are already described in the input schema. The tool description adds no parameter-specific detail beyond implying the output content. The baseline of 3 applies because the schema does the heavy lifting for parameter documentation.

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?

The description states a specific verb and resource: 'Get a specific section of a chapter' and clarifies the output includes 'text and associated images.' It implicitly distinguishes itself from the sibling get_chapter_text by emphasizing a targeted section rather than whole-chapter content, though it does not explicitly name alternatives.

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 guidance is given on when to use this tool versus siblings like get_chapter_text, search_content, or extract_chapter_content. The description contains no exclusions, prerequisites, or context triggers. The only subtle usage hint is the word 'specific,' which weakly implies a targeted lookup, but this is not enough to route an agent correctly.

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