List interviewers
list_interviewersList the interviewer personas a project can use.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_interviewersList the interviewer personas a project can use.
| 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 readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile is fully covered. The description adds essentially no behavioral context beyond that, and the phrase 'a project can use' hints at project scoping despite there being no project parameter.
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, front-loaded with the verb and resource. Minimal but not wasteful; the trailing 'a project can use' clause adds slight ambiguity for no clear benefit.
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 no-param, no-output-schema list tool, the description should ideally indicate what the return contains (names, ids, counts). It leaves the caller unsure what an 'interviewer persona' record looks like, which is a real gap when no output schema exists.
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?
Zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies.
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 clear verb (list) and resource (interviewer personas), which is distinguishable from sibling list tools like list_members or list_themes. It doesn't explicitly differentiate itself from those siblings, so it stops short of a 5.
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?
The description implies usage (fetch the available interviewer personas) but gives no when-to-use conditions, prerequisites, or alternative tools. Nothing tells the agent whether this should be called before another operation.
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.