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references

references

by sameeeeeeep

references_add

Save a user-provided link or screenshot to their library so future suggestions reflect their taste. Capture the take: what to carry over from each reference.

Instructions

Save a reference the user handed you (a link, a screenshot path, or both) into their library so it is suggested from now on. Always capture take: what to carry over from it.

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": {
      "medium": "<medium>",
      "title": "<title>",
      "take": "<take>"
    },
    "name": "references_add"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlNo
tagsNo
takeYesWhat to take from it: the specific thing to carry over.
imageNoAbsolute path to a screenshot to copy into the library.
titleYes
topicNoFolder in the library (defaults to the medium).
mediumYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose a real behavioral trait beyond the schema — persistence into the library and influence on future suggestions — but omits what happens on duplicate entries, whether the operation overwrites, and what the call returns (no output schema exists to cover that).

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?

Two sentences, front-loaded with the action and effect, then the one hard constraint. No filler; every clause carries information an agent needs.

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?

For a 7-parameter mutation tool with no annotations and no output schema, the description covers the primary flow but leaves gaps: nothing about the return value, duplicate handling, or the meaning of the required 'medium' enum. Adequate to attempt a call, not complete enough to call it confidently with all parameters.

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?

With only 43% schema coverage the description must compensate, and it partially does: it maps 'a link, a screenshot path, or both' to url/image and stresses that 'take' is always required. However, it says nothing about 'medium' (a required 10-value enum with no schema description), 'title', 'tags', or 'topic', leaving several parameters explained only by their bare names.

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+resource ('Save a reference ... into their library') and adds an effect ('so it is suggested from now on'), which is more than a restatement of the name. It doesn't explicitly differentiate itself from siblings like references_suggest or references_shortlist, but the write-versus-read distinction is inferable from 'Save'.

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?

'Save a reference the user handed you' gives a clear trigger condition for invocation, and the stated downstream effect clarifies why one would call it. There are no explicit exclusions or named alternatives, so it stops short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.