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Usama1002

Research Buddy MCP Server

by Usama1002

Read Pdf Text

read_pdf_text

Download an open-access PDF and extract its text from a direct URL, letting AI agents read and process paper content for literature review tasks.

Instructions

Download and extract text from an open-access PDF.

  • url: Direct URL to the PDF.

  • max_chars: Max characters to extract (default 10000).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
max_charsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose two real behavioral traits: the open-access access restriction and the max_chars truncation cap, which tells the agent output may be cut off. It does not say what happens on failure (non-open-access URL, unreachable host) or whether truncation is signaled, leaving meaningful gaps.

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

Conciseness4/5

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

One purpose sentence followed by two tight parameter bullets, with the core action front-loaded. No filler, though the parameter bullets are somewhat redundant with the schema field names.

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?

An output schema exists, so return-format explanation is unnecessary, and the description covers the essentials an agent needs: the open-access prerequisite, the URL requirement, and the truncation cap. Only the failure behavior for non-open-access URLs is left unaddressed.

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 description coverage is 0%, so the description must compensate, and it does: it defines url as a direct PDF URL (not a DOI or landing page) and explains max_chars as a character cap with its default. That is meaningful clarification beyond the bare schema types, though it omits units/behavior at the boundary.

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 compound verb ('Download and extract text') with a clear resource ('an open-access PDF'), so the agent knows exactly what the tool produces. It is implicitly distinct from all siblings, which are search/metadata tools rather than full-text readers, but the description never names an alternative to sharpen that contrast.

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?

The 'open-access' qualifier implies a usage boundary (don't expect paywalled PDFs to work), which is useful implied guidance. However, there is no explicit when-to-use rule and no routing to siblings like get_paper_details for metadata or search_paper_snippets for quick excerpts.

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