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Get research section detail

get_research_section
Read-onlyIdempotent

One research section's description, team and projects, each with its research-item count.

Input Schema

NameRequiredDescriptionDefault
idNoSection Omeka id or typed id section:218
nameNoSection name, e.g. 'Arts & Aesthetics'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / id
      Added value: +{
      +  "anyOf": [
      +    {
      +      "maxLength": 64,
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    }
      +  ],
      +  "description": "Section Omeka id or typed id section:218"
      +}
    • addedInput schema / properties / name / maxLength
      Added value: +1000
    • removedInput schema / required
      Removed value: -[
      -  "name"
      -]
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world behavior, so safety is covered. The description adds the return shape (team, projects, per-project item counts), which is real value given there is no output schema, but it says nothing about behavior when both id and name are omitted or mismatched.

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?

One compact sentence with no waste, and the resource is front-loaded. It reads as a noun phrase rather than a sentence, which slightly weakens its force as a statement of action.

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?

With no output schema, the description does part of the job by sketching the returned fields, but it leaves the two-optional-parameter lookup model and failure modes unexplained for an agent deciding how to call it.

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%, with useful examples ('section:218', 'Arts & Aesthetics'), so the baseline is 3. The description contributes no additional parameter meaning such as which key takes precedence or what happens with zero params.

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 fragment names a single, specific resource (one research section) and enumerates its payload (description, team, projects, item counts), which separates it from list_research_sections and get_research_item. It lacks an explicit verb, but the resource and scope are unambiguous.

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?

There is no guidance on when to use this versus list_research_sections or get_research_item, and no mention that id and name are optional lookup keys. The agent must infer that either identifier can be supplied.

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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