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HypePaper

library_compare_methods

Your personal library: Side-by-side comparison of methods: for each method id, list the papers that use it and outbound claim nodes. [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": {
      "method_ids": "<method_ids>"
    },
    "name": "library_compare_methods"
  }
}

Input Schema

NameRequiredDescriptionDefault
method_idsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the cost model ('Free · 1 credit') and sketches the returned content (papers plus outbound claim nodes), which is real behavioral value, but it omits result limits, pagination, and whether the query is scoped to the user's personal library (the leading phrase suggests so, without stating it).

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 compact sentence plus a cost tag, front-loaded with what the tool returns. The leading fragment 'Your personal library:' is slightly awkward but does convey scoping; nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no output schema and no annotations, the description covers the main idea and the invocation cost. It stops short of the details an agent would need to call it confidently, notably array size limits and how results are organized when several ids are supplied.

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 coverage is 0% for the single method_ids array, so the description must compensate. Saying 'for each method id' clarifies that the array is a batch of method identifiers, each producing its own result block, but it says nothing about id format, how ids are obtained, or any maximum array length.

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: a side-by-side comparison of methods that returns, per method id, the papers using it and outbound claim nodes. That is concrete enough to distinguish it from a single-method lookup like library_papers_with_method, though it never names a sibling explicitly.

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: the plural 'for each method id' and 'side-by-side comparison' suggest batching multiple methods for comparison rather than fetching one method's papers. There is no explicit when-to-use statement, no stated alternative for single-method lookups, and no prerequisites or limits on how many ids to pass.

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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