BigContext MCP

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

No annotations are provided, so the description carries full burden. It mentions what the tool does (comparison) and returns (result with similarity and themes), but lacks critical behavioral details: permission requirements, rate limits, whether it's read-only or mutative, error handling, or performance characteristics. For a tool with 4 parameters and no annotations, this is insufficient.

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 well-structured and appropriately sized: purpose statement, usage hint, parameter explanations, and return value. Every sentence adds value, with no redundancy. It could be slightly more front-loaded by moving the 'Returns' section closer to the top, but overall it's efficient.

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?

Given 4 parameters with 0% schema coverage, no annotations, but an output schema exists, the description does a good job covering basics. It explains all parameters and the return value, and the output schema handles return details. However, for a comparison tool with potential complexity (e.g., bridge-finding), more behavioral context (like performance or limitations) would enhance completeness.

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%, so the description must compensate. It explicitly lists all 4 parameters with brief explanations (e.g., 'ID of the first segment to compare', 'Find intermediate segments that connect the two'), adding meaningful semantics beyond the bare schema. However, it doesn't detail parameter constraints or formats (e.g., what constitutes a valid segment ID), preventing a perfect score.

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 clearly states the tool's purpose: 'Compare two segments to find shared themes, unique terms, and similarity.' It specifies the verb (compare) and resource (segments) with concrete outputs (themes, terms, similarity). However, it doesn't explicitly differentiate from sibling tools like 'search_segment' or 'get_adjacent_segments', which prevents a perfect score.

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 provides some implied usage context: 'Useful for understanding relationships between chapters.' This suggests when to use the tool but doesn't explicitly state when not to use it or name alternatives among siblings. No prerequisites or exclusions are mentioned, leaving gaps in guidance.

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