get_operational_outcomes
Read operation and revision scoped attributed counts from the last 30 days. Empty populations have no reliability score. Public access.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path_id | Yes | ||
| revision | No | ||
| operation | No |
Read operation and revision scoped attributed counts from the last 30 days. Empty populations have no reliability score. Public access.
| Name | Required | Description | Default |
|---|---|---|---|
| path_id | Yes | ||
| revision | No | ||
| operation | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description only needs to add operational context. It does contribute the 30-day window, the fact that empty populations carry no reliability score, and that access is public/unauthenticated — useful, but cryptic about what 'reliability score' means or what a non-empty result looks like.
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?
Three short, front-loaded sentences with no filler; the invocation-relevant scope and window come first and the behavioral caveats follow. Slightly terse to the point of under-specification, but no sentence is wasted.
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 three-parameter read tool with no output schema and 0% parameter documentation, the description should carry more of the return-shape and parameter burden. It names the aggregation and window and notes empty-population behavior, which is the minimum viable framing, but leaves result structure and parameter formats unexplained.
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 carry the full burden for three parameters. It gestures at the 'operation' and 'revision' scoping dimensions but says nothing about path_id (the only required parameter), nor about accepted value formats, the 500/150-char caps, or what 'operation' strings are valid.
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 states a concrete verb+resource pair ('Read ... attributed counts') and adds the scoping dimensions (operation, revision) plus a fixed window (last 30 days), so an agent knows it returns aggregated outcome counts rather than raw records. It never names or contrasts with any sibling (e.g. get_path_history, get_observation_history), which keeps it out of 5 territory.
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 instruction, no condition under which this tool should be preferred over the many other get_* siblings, and no stated prerequisites. 'Public access' describes auth, not usage selection, so the agent is left to infer the call context entirely.
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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