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geheharidas

Primo MCP Server

by geheharidas

primo_search

Search university library catalogues and subscribed databases with filters for field, resource type, date range, and peer-reviewed status.

Instructions

Search the university library catalogue and subscribed databases.

Args: query: Search terms (e.g. "machine learning entrepreneurship"). field: Search field -- "any" (default), "title", "creator", "sub" (subject), "isbn", "oclcnum". scope: "everything" for local catalogue + subscribed databases, "catalogue" for local only. sort_by: "rank" (relevance, default), "date" (newest first), "title" (alphabetical). limit: Number of results to return (1-50, default 10). offset: Pagination offset (default 0). Use to get the next page of results. resource_type: Filter by type -- "books", "articles", "journals", "dissertations", "conference_proceedings". date_from: Start year filter (YYYY format, e.g. "2020"). date_to: End year filter (YYYY format, e.g. "2025"). peer_reviewed: Set to true to show only peer-reviewed items.

Returns: Formatted search results with title, authors, year, identifiers, and availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldNoany
limitNo
queryYes
scopeNoeverything
offsetNo
date_toNo
sort_byNorank
date_fromNo
peer_reviewedNo
resource_typeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must carry full burden. It fails to disclose whether the operation is read-only, any side effects, authentication needs, or rate limits. It only describes parameter effects and return format.

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?

Well-structured with Args and Returns sections; every sentence adds value. The purpose is front-loaded, and the description is appropriately sized for the complexity (10 parameters).

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?

Given the tool has an output schema, the description appropriately summarizes return content ('formatted search results with title, authors, year, identifiers, and availability'). It covers all necessary aspects for an agent to use the tool correctly.

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

Parameters5/5

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

Schema description coverage is 0%, but the description compensates fully by explaining every parameter's meaning and format (e.g., 'query: Search terms...', 'field: Search field -- any (default), title, creator...'). This adds significant value beyond the bare schema.

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?

First sentence clearly states: 'Search the university library catalogue and subscribed databases.' This is a specific verb+resource, and it distinctly separates this tool from siblings like primo_cite or primo_export.

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?

Implied usage is clear from purpose, but there is no explicit guidance on when to use this tool versus alternatives, nor any 'when not to use' advice.

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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