list-perf-baselines
List promoted performance baselines, optionally filtered by TestChimp id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No | ||
| testchimpId | No |
List promoted performance baselines, optionally filtered by TestChimp id.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No | ||
| testchimpId | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, and it says almost nothing beyond 'List'. It does not disclose pagination semantics, default ordering, permissions, or what 'promoted' concretely entails, all of which matter for a baseline-listing 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?
A single sentence with zero waste, and the resource is front-loaded before the optional filter. There is nothing extraneous to trim.
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 paged list tool with three undocumented parameters, no annotations, and no output schema, the description is too thin. It omits pagination behavior and result shape, which the agent must otherwise infer.
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, but it only addresses one of three parameters (testchimpId). The limit and offset parameters are left entirely unexplained, so an agent gets no help on result-sizing or pagination behavior.
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+resource ('List ... performance baselines') and qualifies scope with 'promoted', so the agent knows these are the promoted subset. It does not differentiate from siblings like list-perf-runs or compare-perf-to-baseline, leaving the boundary between baseline listing and run listing implicit.
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 only guidance is 'optionally filtered by TestChimp id', which is a filtering hint rather than a when-to-use rule. There is no statement of when this tool should be chosen over list-perf-runs or compare-perf-to-baseline, and no prerequisites or exclusions are given.
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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