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List the prompt collections

list_collections
Read-onlyIdempotent

List the collections in the thinkhard.si prompt repository, with how many prompts each has.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
collectionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "collections": {
      +      "items": {
      +        "properties": {
      +          "blurb": {
      +            "type": "string"
      +          },
      +          "code": {
      +            "description": "Registry prefix, such as CAR.",
      +            "type": "string"
      +          },
      +          "count": {
      +            "description": "Prompts in the collection.",
      +            "type": "integer"
      +          },
      +          "id": {
      +            "description": "Pass it to search_prompts as collection.",
      +            "type": "string"
      +          },
      +          "name": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "id",
      +          "code",
      +          "name",
      +          "blurb",
      +          "count"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "collections"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only that each collection reports a prompt count; it says nothing about ordering, pagination, or empty-repository behavior.

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?

One sentence, front-loaded with the action and the resource, with the return detail appended. No filler or redundancy.

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

Completeness4/5

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

For a zero-parameter read tool with full annotation coverage and an output schema, the description covers what is needed to invoke it correctly. Only the routing rationale relative to sibling tools is missing.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies no filtering or input is accepted.

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?

States a specific verb ('List') and resource ('collections in the thinkhard.si prompt repository') plus the payload each entry carries ('how many prompts each has'). It is clearly a different resource from the prompt-level siblings, though it never names or contrasts them explicitly.

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?

Usage is only implied: an agent can infer this is the discovery step before get_prompt/search_prompts, but the description never says when to use it versus those siblings or what to do next with the result.

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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