get_persona
Fetch one persona by its slug (from list_personas), with its audience.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | Optional BCP 47 tag; name, tagline and description in that language when translated. | |
| slug | Yes | Persona slug. |
Fetch one persona by its slug (from list_personas), with its audience.
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | Optional BCP 47 tag; name, tagline and description in that language when translated. | |
| slug | Yes | Persona slug. |
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 burden. It does disclose that the response includes the persona's audience, which is useful, but it says nothing about error behavior for a missing slug, localization fallback behavior for the lang parameter, or any auth/rate considerations.
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 tight sentence, front-loaded with the verb and resource, that also carries the sibling reference and return-content hint. Nothing 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 simple two-parameter read tool with no output schema and no annotations, the description covers what it does, where the key input comes from, and roughly what comes back. Missing only edge-case behavior such as an invalid slug or untranslated lang fallback.
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 100%, so both parameters are already documented in the schema, setting the baseline at 3. The description adds a small amount by indicating the slug originates from list_personas, but says nothing about the lang parameter beyond what the schema already states.
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?
Names a specific verb and resource (fetch one persona) plus scope (by its slug) and states what comes back (its audience). It also explicitly distinguishes itself from the list_personas sibling, so an agent can pick the right tool without opening a schema.
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 parenthetical '(from list_personas)' routes the agent: list first, then fetch by slug. That's clear contextual guidance, but there's no explicit when-not or statement about what to do if the slug is unknown.
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.