CrowdCent 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 describes the polling behavior, timeout handling, and file-saving action, which are useful. However, it lacks details on permissions, rate limits, error conditions beyond TimeoutError, or what 'Success message' entails, leaving gaps for a mutation tool.

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 with a brief purpose statement followed by a bulleted list of parameters and returns. Every sentence earns its place by explaining critical details without redundancy, making it easy to scan and understand quickly.

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 tool with 5 parameters, no annotations, and no output schema, the description covers parameter semantics well but lacks behavioral context like error handling, permissions, or output details. It's adequate as a minimum viable description but has clear gaps given the tool's complexity and mutation nature.

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 fully compensate. It provides clear semantics for all 5 parameters: 'release_date' format options, 'dest_path' requirements, 'poll' purpose, 'poll_interval' units, and 'timeout' behavior. This adds significant value beyond the bare schema, explaining usage and constraints effectively.

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 verb 'download' and resource 'inference data' with scope 'for a specific period', which is specific and actionable. However, it doesn't explicitly differentiate from sibling tools like 'download_training_dataset' or 'download_meta_model' beyond the resource type, 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 no guidance on when to use this tool versus alternatives like 'get_inference_data_info' (which might provide metadata without downloading) or 'download_training_dataset'. There's no mention of prerequisites, dependencies, or typical use cases, leaving the agent to infer usage from context alone.

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