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get_research_deck

Research a topic and generate a visual deck with charts and visualizations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesWhat to research and visualize
formatNoscrollytelling

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
statusYes
messageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "job_id": {
      +      "type": "string"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "status": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "job_id",
      +    "status"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false and destructiveHint=false, which align with 'generate' — no contradiction. The description adds the minor detail that the output includes 'charts and visualizations'. However, given the presence of a 'get_status' sibling and the potentially long-running nature of 'research', the description does not disclose that this may be an asynchronous operation or any cost/time implications, leaving the agent to infer behavior.

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?

A single efficient sentence with no filler; the core purpose is front-loaded. It is appropriately sized for a simple two-parameter tool, though the brevity comes at the cost of omitting useful usage context.

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

Completeness2/5

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

Despite an output schema covering return values, the description is thin for a tool with several siblings, an enum parameter, and a likely async workflow. It omits the format-parameter semantics, fails to distinguish from 'generate_deck', and gives no indication of the research/status workflow. An agent would struggle to call it correctly without opening other tools or schemas.

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% — 'topic' is documented but 'format' is only given an enum with no explanatory text. The description adds nothing about either parameter: it does not explain what the three format values mean, nor how 'topic' should be phrased. For a tool where format choice materially changes the output (scrollytelling vs slides), this is a meaningful gap the description fails to fill.

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+resource: 'Research a topic and generate a visual deck with charts and visualizations.' It clearly conveys what the tool produces. However, it does not differentiate itself from the sibling tool 'generate_deck', which could easily overlap in purpose — an agent would need to open both schemas to tell them apart.

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?

No guidance is given on when to use this tool versus alternatives. With siblings like 'generate_deck' and 'save_deck', the description offers no selection criteria, no exclusions, and no scenario hints (e.g., 'use this when you need researched visualizations'). The only implicit signal is the word 'research', which is not enough to route an agent reliably.

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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