FirstCycling MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adequately describes the tool's function and output format, but doesn't mention potential limitations like rate limits, authentication requirements, error conditions, or data freshness. It provides basic behavioral context but lacks operational details.

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 efficiently structured with purpose statement, usage note, examples, and return format - each section earns its place. It's front-loaded with the core functionality and avoids unnecessary verbosity while covering all essential aspects.

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?

For a single-parameter read operation with no output schema, the description provides good completeness: it explains the tool's purpose, parameter semantics, usage workflow, and output format. The main gap is lack of operational constraints (rate limits, errors, etc.), but given the tool's relative simplicity and clear sibling relationships, it's mostly complete.

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?

The input schema has 0% description coverage (just 'Rider Id' with type integer), so the description must fully compensate. It clearly explains that the rider_id parameter should be obtained from the search_rider tool and provides concrete examples with sample IDs (12345, 67890), adding substantial meaning beyond the bare schema.

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 with specific verbs ('Get a detailed history', 'provides a chronological list') and resources ('professional cyclist's team affiliations', 'all teams the rider has been part of'). It distinguishes from siblings by focusing specifically on team history rather than race results, victories, or general rider info.

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 explicit guidance on when to use this tool versus alternatives: it directs users to 'use the search_rider tool first to find [the rider's ID] by name' if they don't know the ID. This creates a clear workflow relationship with a specific sibling tool.

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