get_my_rating_summary
The coach's average star rating and review count.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The coach's average star rating and review count.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe read with no side effects, so the description's burden is reduced. It adds the useful detail that the result is an aggregate (average plus count) rather than raw reviews, but does not describe formatting, scoping, or failure behavior. Adequate against the annotation baseline, not rich.
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 short sentence with no wasted words. It is a noun fragment rather than a verb-first construction, which slightly weakens front-loading, but nothing could be trimmed.
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 zero-parameter read tool with no output schema, the description adequately signals the two values returned (average rating, review count) and the read-only nature is covered by annotations. The one gap is that it never clarifies its relationship to get_my_ratings.
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 tool takes zero parameters, so the schema has nothing to document and the baseline is 4. The description correctly implies no input is needed and focuses on output content instead.
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 names the resource (the coach's star rating) and implies the read verb via the tool name, and states the returned metrics (average rating and review count). It is clear what the tool does, but it does not explicitly distinguish itself from the sibling get_my_ratings, leaving the agent to infer that this is an aggregate summary rather than a review list.
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?
There is no when-to-use guidance, no prerequisites, and no mention of the closely related get_my_ratings sibling. The agent must infer usage entirely from the name and description.
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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