Skip to main content
Glama
hedging8563

TokenLab MCP Server

by hedging8563

Rerank documents

rerank_documents

Re-rank documents by relevance to a query using semantic similarity. Provide documents and a query to get a reordered list based on relevance.

Instructions

Rerank documents Reranks documents by relevance to a query using semantic similarity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesReranker model to use
queryYesQuery to rank against
top_nNoNumber of results to return
documentsYesDocuments to rerank
return_documentsNo
Behavior2/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=false. The description adds no behavioral details beyond the basic function. No mention of side effects, required permissions, or response behavior.

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

Conciseness2/5

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

The description is very short but contains repetition ('Rerank documents Reranks documents'), which reduces clarity. It could be condensed into one sentence without loss of meaning.

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

Completeness2/5

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

No output schema is provided, and the description does not explain what the tool returns or how to interpret the reranked documents. Given the complexity of reranking, more context (e.g., ordering, scoring) would be helpful.

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 80%, so baseline is 3. The description does not add any parameter-level details beyond the schema. It only restates the tool's purpose, not parameter guidance.

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 clearly states the verb 'rerank' and the resource 'documents', and explains it uses semantic similarity for relevance ranking. It distinguishes from sibling tools which are mostly for generation, embedding, or file operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention when not to use it. It simply states what it does without usage context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/hedging8563/tokenlab-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server