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search_biorxiv

List bioRxiv/medRxiv preprints by category and log each to the audit trail.

No free-text search exists on this API — only category listing (last 30 days).

Args:
    category: category, e.g. "neuroscience", "bioinformatics", or "all"
    agent_id: which agent is asking, e.g. "aletheia:advocate"
    max_results: how many preprints to retrieve (default 5)
    server: "biorxiv" or "medrxiv" (default "biorxiv")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serverNobiorxiv
agent_idYes
categoryYes
max_resultsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true and idempotentHint=false, but the description supplies the reason — each call 'logs to the audit trail' — which explains the non-read-only, non-idempotent profile. It also discloses the 30-day recency window and the absence of free-text search, meaningful traits beyond the annotations. Return format and rate limits remain unstated.

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?

The critical constraint is front-loaded in the first two sentences, followed by a compact Args block. Given 0% schema coverage the parameter list earns its place, though the 'Args:' section is somewhat more verbose than strictly necessary.

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?

For a 4-parameter tool with no output schema and partial annotations, the description covers the calling contract, the audit-logging side effect, and the API's structural limitation. What an agent needs to call it correctly is present; pagination and result-count behavior are the only unaddressed items.

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 carries the full burden and does so: it documents all four parameters with concrete examples ('neuroscience', 'aletheia:advocate'), allowed values for server and category, and the max_results default. Only minor gaps remain, such as the upper bound on max_results.

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 a specific verb and resource ('List bioRxiv/medRxiv preprints by category') and immediately resolves the misleading 'search_' prefix by declaring 'No free-text search exists on this API — only category listing (last 30 days).' That contrast lets an agent distinguish this capability from true search siblings like search_pubmed and search_europepmc without opening a schema.

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 gives clear context for when the tool applies: category listing only, last 30 days, no free-text search. It does not, however, explicitly route between this and the other search_* siblings, so the agent must infer that a keyword query belongs elsewhere.

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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