formulary_ratings
Ratings for the caller's tool population (status per tool+class).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Ratings for the caller's tool population (status per tool+class).
| 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?
No annotations are provided, so the description carries the full disclosure burden, yet it never confirms this is a read-only operation, says nothing about permissions/scoping to the caller, volume of results, or whether ratings are cached or live. It conveys only that some status per tool+class is returned.
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 compact sentence with no filler, and the resource is front-loaded. It is arguably too terse rather than bloated, but every word present is doing work.
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?
With no parameters, no output schema, and no annotations, the description is the only source of truth and it covers just enough to know it returns per-tool/per-class status ratings. It is missing any indication of read-only nature, result volume, or how it differs from formulary_account, which leaves it only minimally adequate for a discovery-style tool.
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 there is nothing for the description to disambiguate; the baseline for parameterless tools applies. The parenthetical does at least describe the shape of the result rows, which is a bonus beyond parameter concerns.
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 a resource ("ratings") and a scope ("the caller's tool population") with a hint at the row grain ("status per tool+class"). However, "tool population" and "class" are unexplained domain terms, and "ratings" could mean scores, approval tiers, or coverage status, so the agent cannot form a precise picture of what comes back.
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 statement of when to call this versus the five sibling tools (formulary_account, formulary_dispense, formulary_file_daw, formulary_report_failure, formulary_verify_receipt), nor any precondition or trigger. The agent must infer usage purely from the name.
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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