peer_market_leaderboard
Fetch maker and taker leaderboard data from Peerlytics.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Result limit. | |
| offset | No | Offset. | |
| params | No | Optional raw JSON params merged beneath typed fields. |
Fetch maker and taker leaderboard data from Peerlytics.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Result limit. | |
| offset | No | Offset. | |
| 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 the source and data scope but does not disclose behavioral details like pagination semantics or leaderboard ordering. It does not contradict the annotations.
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. It efficiently states the action and resource. A bit more usage context would improve it, but as written it is appropriately concise.
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 paginated read-only leaderboard tool, the description is minimally viable but leaves gaps: no return value shape, no ordering or ranking semantics, and no timing/availability context. With no output schema, some additional context would help an agent call it correctly in unfamiliar workflows.
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?
Input schema coverage is 100%, so limit, offset, and params are already described in the schema. The description adds no parameter-level meaning beyond what the schema provides, which meets the baseline for high schema coverage.
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 identifies the action ('Fetch'), the resource ('maker and taker leaderboard data'), and the source ('Peerlytics'). It is specific enough to indicate this is a leaderboard retrieval tool and is not a tautology. It doesn't explicitly contrast with siblings like peer_market_maker_history, but the 'leaderboard' term differentiates it reasonably.
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 provided about when to use this tool versus alternatives such as peer_market_maker_history, peer_market_taker_history, or peer_market_activity. The description simply states what it fetches without explaining the appropriate context or exclusions.
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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