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PHoenixs57

literature-search-mcp

by PHoenixs57

Fetch open-access full text

literature_get_fulltext
Read-onlyIdempotent

Fetch open-access full text from Europe PMC using PMID, PMCID, or DOI. Returns structured sections, abstract, and metadata for open-access papers; indicates if not found.

Instructions

Fetch open-access full text from Europe PMC (PMC Open Access subset) for a paper identified by at least one of pmcid, pmid, or doi. Returns title, abstract, structured sections, a joined plain-text full_text, and metadata (identifiers, source, url, license, word/character counts, truncated flag). Papers without open-access full text return a structured status of "not_found".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doiNoDigital Object Identifier
pmidNoPubMed identifier
pmcidNoPubMed Central identifier, e.g. PMC1234567
max_charsNoMaximum characters in the joined full_text string; sections and abstract are returned in full
Behavior4/5

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

Annotations already indicate read-only and non-destructive behavior. The description adds valuable context: the exact return fields (title, abstract, full_text, metadata), the truncated flag, and the not_found status for papers without open access. This goes beyond the annotations.

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?

The description is two sentences, front-loaded with the primary purpose, and includes return details without redundancy. Every sentence earns its place.

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?

Given no output schema, the description sufficiently explains return values and the not_found case. It covers the main behavioral aspects needed for invocation, though it could mention error handling for invalid/missing identifiers.

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?

Schema covers all parameters with descriptions (100% coverage), so baseline is 3. The description adds meaning by explaining that at least one of the three IDs is required and by mentioning the truncated flag, which relates to max_chars. This enriches parameter understanding.

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?

The description states the specific action (fetch full text from Europe PMC) and resource (open-access subset), and distinguishes it from sibling tools like literature_search (search) and literature_sources (sources). It clearly identifies the expected identifier inputs.

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?

It provides clear context for when to use the tool (when you have at least one of pmcid, pmid, or doi) but does not explicitly mention alternatives or when not to use it. The condition is clear enough for an agent to infer usage.

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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