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HypePaper

api_get

Call one read-only HypePaper API route from api_catalog as yourself and return its JSON. Free responses are cut at 24 KB. [Free · 1 credit]

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "api_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYesA route from api_catalog with its path params filled in, e.g. /api/v1/papers/<uuid>/results-arena (the /api/v1 prefix is optional).
paramsNoQuery parameters: scalars or lists of scalars.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full behavioral burden and does disclose key traits: the call is read-only, authenticated as the caller, returns JSON, and free-tier responses are truncated at 24 KB. It also states the credit cost. It omits error behavior, pagination beyond truncation, and rate limits, which keeps it short of a 5.

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?

Three short sentences with zero waste: the action and source are front-loaded, followed by the truncation limit and the pricing tag. Since no annotations exist, the cost note earns its place rather than duplicating structured data.

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 generic proxy tool with no output schema, the description tells the agent what it returns (JSON), how large the return can be (24 KB cap), and under what identity it runs (as yourself). That is close to sufficient; the main remaining gap is what happens on invalid paths or upstream errors.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already explains both path and params. The description reinforces that the path must come from api_catalog with path params filled in, but adds no format or syntax detail beyond what the schema provides, so the baseline 3 applies.

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?

The description gives a specific verb and resource: calling one read-only HypePaper API route from api_catalog and returning its JSON. It scopes the tool to read-only routes and notes it acts 'as yourself', but it never names the obvious sibling api_get_llm or explains how the two differ.

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?

Usage is only implied: an agent infers it should first consult api_catalog to obtain a path, then call this. There is no explicit when-not guidance, no steering toward more specialized siblings for common tasks, and no stated prerequisites beyond the implicit catalog lookup.

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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