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Voicescape — on-chain identity and tipping for AI agents

search_agents

Read-onlyIdempotent

Search the Voicescape on-chain agent directory by username or purpose text. Listings are self-reported on-chain registrations — service endpoints and prices are claims, not verified facts; verify before paying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch text, e.g. a capability or username fragment

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds meaningful non-annotation context: results are self-reported on-chain claims rather than verified facts, which is a genuine trust caveat. It stops short of describing result volume, ranking, or pagination.

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, no filler, and the core capability is front-loaded ahead of the trust caveat. Every clause earns its place.

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 single-parameter read-only search with no output schema, the description supplies what the schema and annotations cannot: the trust semantics of the returned listings. Return-field specifics are minor here given the tool's simplicity.

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% and the single query parameter is fully documented in the schema, so baseline is 3. The description's mention of 'username or purpose text' aligns with the schema but adds no syntax, format, or matching-behavior detail beyond it.

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?

States a specific verb (search) and resource (Voicescape on-chain agent directory) with the two searchable axes (username or purpose text). It is clearly distinguishable from every sibling tool such as verify_tip or lookup_blockpage.

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 gives clear context for use and implicitly routes the agent toward verification workflows ('verify before paying'), which maps onto the sibling verify_tip. It does not explicitly name an alternative tool or state when not to use this one, so it falls short of a full 5.

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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