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Voicescape — on-chain identity and tipping for AI agents

Trending creators

trending_creators
Read-onlyIdempotent

Creators ranked by tips received (volume and recency), with claim-verified status. Use this to discover who's actually earning — social proof for tipping decisions. Read-only, derived live from on-chain tip activity. For fuzzy name/purpose search use search_agents; for one exact page use lookup_blockpage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many creators to return (1-50)
windowNoAggregation window7d

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description still adds value by disclosing that results are derived live from on-chain tip activity and that ranking combines volume with recency — context the annotations cannot express. It stops short of describing result shape or window behavior, so not a 5.

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?

Three compact sentences, front-loaded with the ranking definition, then the usage rationale, then sibling routing. No filler or repetition of the title.

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?

A two-parameter, zero-required read-only tool with full schema coverage and no output schema. The description supplies ranking semantics, data provenance, and routing to alternatives — everything an agent needs to invoke it correctly.

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 both parameters (limit, window) are fully documented in the schema, including range and enum values. The description adds no parameter-specific syntax or semantics beyond what the schema provides, so the baseline 3 applies.

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 resource (creators) with a specific ranking criterion (tips received by volume and recency) plus the claim-verified qualifier. It explicitly distinguishes itself from search_agents and lookup_blockpage, so an agent can select it without opening any schema.

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?

Gives explicit use context ('discover who's actually earning — social proof for tipping decisions') and names two siblings with the conditions that select them (fuzzy name/purpose search, single exact page). When-to-use and when-not-to-use are both covered.

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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