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Glama

Fetch

fetch
Read-onlyIdempotent

Retrieve details for one Zotero item using its key, optionally specifying a user or group library to locate the correct record.

Instructions

Company-knowledge compatible fetch for one Zotero item key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
library_idNo
library_typeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.10.0
    • addedInput schema / properties / library_id
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Library Id"
      +}
    • addedInput schema / properties / library_type
      Added value: +{
      +  "anyOf": [
      +    {
      +      "enum": [
      +        "user",
      +        "group"
      +      ],
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Library Type"
      +}
  2. First observedv0.9.0

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no behavioral context beyond that - no auth requirements, rate limits, or error behavior for a missing/invalid item key.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loaded, which is good, but 'Company-knowledge compatible' is filler that occupies the most prominent position without earning its place. The one substantive clause is otherwise efficient.

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?

An output schema exists, so return values need not be described, but with 3 params at 0% schema coverage and no usage routing against a nearly identical sibling, the description is too thin for the tool's complexity.

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 0%, so the description must compensate for all three parameters. It only gestures at the required 'id' ('one Zotero item key'); library_id and library_type (with its user/group enum) are entirely unexplained in both schema and description.

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

Purpose3/5

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

The phrase 'fetch for one Zotero item key' names a verb and resource, which is useful, but 'Company-knowledge compatible' is meaningless jargon that conveys nothing to an agent. It also fails to differentiate from the close sibling get_item_details, leaving it ambiguous which one to pick.

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 get_item_details, search_library, or any other retrieval sibling, and no stated preconditions. The agent is left to infer usage entirely from the name.

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