Skip to main content
Glama

Find Similar

find_similar
Read-onlyIdempotent

Find pages similar to a given URL using neural/semantic matching. Returns title, URL, relevance score, and published date. Example: find_similar({ url: "https://example.com/great-article", num_results: 10 })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to find semantically similar pages for.
_apiKeyNoOptional — your own Exa API key for higher limits; omit to use the shared Pipeworx key.
num_resultsNoNumber of results to return (default 10, max 25)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "num_results": 10,
      +    "url": "https://example.com/great-article"
      +  }
      +]
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint. The description adds return fields (title, URL, relevance score, published date), providing useful behavioral context beyond annotations.

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?

Two sentences plus an example; every word is informative, no fluff or repetition. Front-loaded with purpose and returns.

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?

Given no output schema, the description mentions return fields. It lacks details on error handling or rate limits but covers essential info for a read-only tool with clear annotations.

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?

All parameters are described in the schema (100% coverage). The description's example reinforces usage but does not add new semantic meaning beyond what the schema already provides.

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 clearly states the tool finds pages similar to a given URL using neural/semantic matching, which distinguishes it from sibling search tools that likely use keyword-based or other methods.

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?

The description implies usage for semantic similarity via 'neural/semantic matching' and provides a concrete example, but does not explicitly state when not to use it or contrast with alternatives.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.