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get_persona_job_status

Read-onlyIdempotent

Check a persona extraction job started by create_persona: its status, the new persona's id once done, or the error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesJob id — from create_persona.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds value beyond them by disclosing the return payload's three possible shapes: status, the resulting persona id, or an error. No gaps, but nothing about polling cadence or terminal states either.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with zero filler, front-loading the action and its provenance before enumerating outcomes. Nothing to trim.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description takes on the return-value burden and discharges it by listing the possible results (status, persona id, error). For a simple status-polling tool with one fully documented parameter, nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and there is only one parameter, so the schema carries the semantics. The description's only extra hint is the provenance of job_id, which the schema property already states verbatim ('Job id — from create_persona'). Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Check) and resource (persona extraction job), ties it to the originating create_persona call, and enumerates the outcomes it surfaces. An agent can distinguish it from get_persona (direct fetch) and get_video_status (video jobs) 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.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Clearly anchors usage to jobs 'started by create_persona', which is the essential trigger condition. It does not name an alternative (e.g. get_persona once the id exists) or state when not to use it, so it stops short of full routing guidance.

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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