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native.research_web
DestructiveIdempotent

Research a public question with citations through the request's selected research model. Never include private project content or names without permission. Research must be enabled for this request.

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.research_web"
  }
}

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

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=true and destructiveHint=true, so the safety profile is largely pre-supplied. The description adds two things the annotations cannot: a gating precondition (research must be enabled) and a privacy constraint about not leaking private project content or names. It does not explain the surprising destructiveHint=true surface or what continuation does, so it is good but not complete.

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

Conciseness4/5

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

Three short sentences with the core action front-loaded and no filler. The terse fragment for the enablement precondition is efficient, though it reads slightly clipped and could have been folded into the first sentence.

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?

This is a complex tool — six parameters, nested objects, five required fields — and an output schema exists, so return values need no explanation. Still, the four undocumented/semi-documented infrastructure parameters (work_id, request_key, arguments wrapper, continuation) leave an agent guessing at invocation plumbing. Purpose, privacy, and the enablement gate are covered, which keeps it at minimum viable rather than inadequate.

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 only 50%, and the description says nothing about any parameter. Opaque infrastructure fields such as work_id, request_key, and the continuation_id inside arguments have no description in either place, so the agent gets no help on what they mean or how to fill them. The mention of 'public question' merely restates the documented question field.

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 gives a specific verb and resource: 'Research a public question with citations through the request's selected research model.' It signals the output (citations) and the routing (selected research model), which distinguishes it from siblings like native.read_web_source and native.read_research_page. It never names those siblings explicitly, so differentiation is inferred rather than stated.

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?

'Research must be enabled for this request' is a genuine precondition, and the privacy rule sets a boundary on inputs. However, there is no guidance on when to pick this over native.read_web_source, native.read_research_page, native.search_resources, or the social research tools, and no stated exclusions beyond the privacy constraint.

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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