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stop social research

native.stop_social_research
DestructiveIdempotent

Stop one observed research request. Retains any accepted supplier response for settlement; does not automatically retry it.

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": {
      "work_id": "<work_id>",
      "arguments": "<arguments>",
      "expected_catalog_version": "<expected_catalog_version>",
      "read_skills": "<read_skills>",
      "request_key": "<request_key>"
    },
    "name": "native.stop_social_research"
  }
}

Input Schema

NameRequiredDescriptionDefault
work_idYes
argumentsYes
read_skillsYesExact required native skills and their dependencies, copied from the accepted session bootstrap's skills array. Include only entries in that array. General mcp.* guides and native.{studio}.instructions are guidance, not native skill proofs.
request_keyYes
publication_proposal_idNoFor native Social scheduling, the exact server-approved publication proposal. This identifier cannot confer approval by itself.
expected_catalog_versionYesFor a new session, read a studios/{studio}/native/{pack} child toolset and copy invocation.catalog_version from a native tool descriptor. Do not use the top-level library version. For calls in an existing session, use that session proposal's catalog_version.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=true, openWorldHint=true, and readOnlyHint=false. The description adds valuable side-effect context: accepted supplier responses are retained for settlement and the request is not automatically retried. It still does not detail settlement cost or handling of in-flight supplier work, but it meaningfully exceeds the annotations.

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 description is two short sentences, front-loaded with the action and followed by the key retention/no-retry side effect. Every sentence earns its place with no redundant wording.

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

Completeness3/5

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

The tool has six parameters, a nested object, and an output schema, so the description does not need to explain return values. It covers the core action and important retention behavior, and annotations cover safety, but it leaves usage routing and required parameter semantics unexplained. This is adequate but incomplete for a destructive stop operation.

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

Parameters2/5

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

Schema description coverage is 50%, with descriptions for read_skills, publication_proposal_id, and expected_catalog_version, but no descriptions for required work_id, arguments.run_id, or request_key. The description mentions no parameter names or semantics, so it does not compensate for the undocumented required identifiers.

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 states a specific verb and resource: stop one observed research request. It distinguishes the scope from broader work-level stop tools by specifying a single research request, though it does not explicitly name an alternative sibling.

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

Usage Guidelines2/5

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

The description gives no explicit when-to-use or when-not-to-use guidance. It does not mention alternatives such as wait_for_social_research, stop_work, or cancel_work, so the agent must infer that this is for abandoning an observed research request.

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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