tc_get_report
Newest markdown scorecard for a slug (clipped). Long; prefer tc_get_token unless the user asks for the write-up.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Newest markdown scorecard for a slug (clipped). Long; prefer tc_get_token unless the user asks for the write-up.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
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 openWorldHint=false, so safety is covered. The description adds genuinely new behavioral context — the output is long and therefore 'clipped' (truncated) — which tells the agent to expect partial content, a trait not present in the structured fields.
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?
Two short sentences with the resource front-loaded and the alternative immediately after. The 'clipped' note is slightly cryptic and the phrasing is terse, but there is no wasted text.
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?
No output schema exists, so the description carries return-value burden; it does gesture at the return (markdown scorecard, newest) and its truncation. Combined with annotations covering the safety profile, an agent has enough to call it, though the slug semantics remain 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 coverage is 0% and the sole parameter (slug) is undocumented in the schema. The description only says 'for a slug,' giving no format, source, or how to obtain it, so it fails to compensate for the coverage gap.
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 specific resource and format: the newest markdown scorecard for a slug. It names the sibling it overlaps with (tc_get_token), which helps an agent separate the two, though it never states plainly that this is a read/fetch tool.
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?
Gives an explicit routing rule: prefer tc_get_token unless the user asks for the write-up. The condition that selects this tool over the alternative is stated directly, leaving nothing to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.