peer_market_protocol_stats
Fetch aggregate Peerlytics protocol statistics.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| params | No | Optional raw JSON params merged beneath typed fields. |
Fetch aggregate Peerlytics protocol statistics.
| Name | Required | Description | Default |
|---|---|---|---|
| params | No | Optional raw JSON params merged beneath typed fields. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds only the word 'aggregate' as a behavioral signal and does not disclose output shape, aggregation dimensions, or any limitations. With no output schema, this leaves a substantial transparency gap.
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?
One short sentence with the verb first and no filler. It earns a high conciseness score, though conciseness comes at the cost of descriptive richness.
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 no output schema and a generic raw-params schema, the description alone does not tell an agent what statistics are aggregated, what dimensions or time periods are available, or whether optional filters are expected. Sibling tools such as peer_market_volume and peer_market_activity are not differentiated, so an agent would struggle to select and invoke this 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?
The input schema's only parameter is a catch-all 'params' object with no property semantics, and schema description coverage is 100%. The description mentions no parameter names, defaults, or filtering behavior, so it adds no semantics beyond the schema. Baseline 3 applies because the schema already covers the parameter's generic role.
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 clear verb ('Fetch') and a broad resource ('aggregate Peerlytics protocol statistics'), so it is not merely a restatement of the name. However, it does not specify which statistics are included or how they differ from the many peer_market_* stats siblings (volume, activity, leaderboard), making the purpose vague.
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 contains no guidance on when to prefer this tool over siblings. No alternatives, exclusions, or qualifying conditions are mentioned; an agent must guess based on the generic phrase 'protocol statistics'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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