List valid filter values
get_taxonomiesThe valid slugs for stage, type, status and company category filters. Call this when a filter is rejected.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_taxonomiesThe valid slugs for stage, type, status and company category filters. Call this when a filter is rejected.
| 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?
Annotations already declare this is a read-only, idempotent, closed-world, non-destructive lookup, so the safety profile is fully covered. The description adds the useful framing that it is a recovery/reference tool, but says nothing about what the returned slugs look like or how they are cached/ordered. Adding some value over annotations, but modest.
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 lean sentences: the first names what is returned, the second names the trigger condition. Both earn their place and are front-loaded with the payload description.
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 output schema and no parameters, the description must carry the return contract, and it does so at a high level ('valid slugs for ... filters'). A slightly more explicit note on scope (all valid values, or the currently applicable set) would close the remaining gap.
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 baseline is 4. The description correctly implies a no-argument lookup that returns the full taxonomy set; nothing more is needed on the parameter side.
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 the resource is a set of valid slugs for stage, type, status, and company category filters, which is specific and distinguishable from the sibling search/get tools. It does not use an explicit verb like 'list' or 'fetch' (the title carries that), but the output is unambiguous.
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?
It gives a clear symptom-based trigger: 'Call this when a filter is rejected.' That is actionable context an agent can act on without opening a schema. It stops short of naming alternatives or when-not-to-call (e.g. proactively vs reactively).
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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