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Dropspace

by io.github.JCLVSH
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finalize_persona

commit a persona's pending analysis after review (the analyzed voice becomes usable)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "finalize_persona"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYespersona ID
persona_analysisNooptionally edited analysis text
persona_analysis_structuredNooptionally edited structured analysis

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish that this is a non-read-only but non-destructive operation. The description adds useful behavioral context by saying the pending analysis is committed and the analyzed voice becomes usable, though it does not disclose reversibility or permission requirements.

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?

The definition is a single front-loaded sentence with no wasted wording, stating the action and resulting effect immediately.

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

Completeness4/5

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

For a mutation tool with full schema coverage and annotations covering its safety profile, the description gives the essential purpose and outcome. It leaves minor details such as whether finalization is reversible to inference, but nothing critical is missing for correct invocation.

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 description coverage is 100%, so the id and optional edited analysis fields are already documented in the schema. The description does not add parameter-level meaning beyond that baseline.

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

Purpose4/5

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

The description uses the specific verb "commit" with the resource "a persona's pending analysis" and clarifies the resulting state: "the analyzed voice becomes usable." It is clear enough to distinguish finalization from analysis or discard, though it does not explicitly name a sibling alternative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The phrase "after review" implies the appropriate moment to use this tool, but it does not state explicit prerequisites, when not to use it, or name discard_persona_analysis as the alternative for rejecting a pending analysis.

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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