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Read a template and its sample data

get_template
Read-onlyIdempotent

Returns a gallery template's source and its sample data, to fill with the person's values (render_template) or to adapt into your own template.

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": "get_template"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesThe template's id, from list_templates.

Output Schema

NameRequiredDescriptionDefault
idYes
dataYes
nameYes
paperYes
categoryYes
templateYes
descriptionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description only needs to explain the payload, which it does by naming both the source and the sample data. It does not mention whether sample data may be absent or how large the source can be, leaving a small gap.

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?

A single front-loaded sentence that names the return content first and the downstream uses second, with no filler. Every clause earns its place by pointing to a concrete follow-up.

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

Completeness5/5

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

For a one-parameter read tool with an output schema, full schema coverage, and complete annotations, the description supplies everything an agent needs: what comes back and why. No behavioural or structural gaps remain.

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 coverage is 100% and the lone id property is already documented as 'from list_templates', so the schema handles parameter meaning entirely. The description adds no further detail about id format or failure modes, which is the expected baseline when the schema does the work.

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

Purpose5/5

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

States a specific verb and resource ('Returns a gallery template's source and its sample data') plus the two things the payload enables. An agent can distinguish this read-and-fetch tool from list_templates and render_template without opening the schema.

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

Usage Guidelines4/5

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

Explicitly names the downstream tool (render_template) for filling with a person's values and the alternate path (adapt into your own template). It gives clear situational context but does not state exclusions, e.g. that list_templates should be called first to obtain the id.

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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