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Algolia Productivity

Call Algolia Read Tool

algolia_call_read_tool
Read-only

Run one read-only Algolia operation. Use this after algolia_discover_tools, and usually after algolia_describe_tool, when the selected operation has effect read. Pass the operationName and arguments exactly as described. Returns that operation's result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsYesArguments for the Algolia operation
operationNameYesName of the Algolia read operation to execute. Call algolia_discover_tools to find available operation names; call algolia_describe_tool to inspect a specific operation's input schema before calling it here.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description reinforces read-only behavior and adds that it returns the operation's result. No contradiction, and the added return info is useful context.

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 with zero waste. Purpose is front-loaded, and the usage workflow is described efficiently. Every sentence earns its place.

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

Completeness5/5

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

The description references the full workflow (discover, describe, then call), making it self-sufficient for an agent. The absence of an output schema is mitigated by the statement that it returns the operation's result. Complete for a generic read-operation caller.

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 100% for both parameters, so the schema documents them fully. The description only instructs to pass operationName and arguments exactly, which adds no new semantic meaning beyond what the schema provides, so a baseline of 3 is appropriate.

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 runs one read-only Algolia operation, distinguishing it from sibling tools by specifying it is used after discovery and description tools. It names the exact verb, resource, and scope, making the purpose unambiguous.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool: after algolia_discover_tools and usually after algolia_describe_tool, when the operation has effect read. This provides clear routing guidance relative to siblings, leaving no ambiguity.

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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