Skip to main content
Glama

Voicescape — on-chain identity and tipping for AI agents

Review agent tipping

review_agent_tipping
Read-onlyIdempotent

Return a deterministic verdict (clean / flagged / insufficient_data) over a Hedera agent's on-chain tipping behavior, with mirror-node evidence for every claim. Checks tip volume, self-tip rate (wash detection), and history depth. Includes a SHA256 report hash. It also returns a prepared unsigned HCS attestation transaction for topic 0.0.10908351 ("Voicescape review attestations") that the caller signs to commit the review publicly — unsigned, so the caller sets their own payer and submits; the verdict and evidence are also fully verifiable via the mirror node. Pass a 0.0.x account id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subjectYesHedera account id to review, e.g. 0.0.10424063

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Annotations cover the safety profile (readOnly/idempotent/non-destructive), and the description adds substantial context beyond them: the three checks performed, the SHA256 report hash, and critically that it returns a prepared *unsigned* HCS transaction the caller must sign with their own payer and submit. This discloses the read-then-sign side effect that annotations alone would not reveal.

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

Conciseness4/5

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

Front-loaded with the verdict and checks, and information-dense for a complex tool. Slightly verbose in restating the unsigned/signing point ('unsigned, so the caller sets their own payer and submits' partially duplicates the earlier clause), keeping it short of a 5.

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?

No output schema exists, so the description carries the return-value burden and does so well: verdict values, evidence source (mirror node), report hash, and the prepared transaction. It omits how 'insufficient_data' is triggered and any rate/pagination behavior, so it is strong but not fully complete.

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?

With a single parameter at 100% schema description coverage, the schema already documents the 'subject' account id. The description's 'Pass a 0.0.x account id' restates the schema's example without adding format or validation detail, so 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 verb and resource ('return a deterministic verdict over a Hedera agent's on-chain tipping behavior') and names the exact output values (clean / flagged / insufficient_data). An agent can distinguish it from siblings like verify_tip or recent_tips without opening the schema.

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

Usage Guidelines3/5

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

Usage is only implied: it explains the sign-and-submit workflow for the returned attestation transaction and closes with 'Pass a 0.0.x account id.' There is no explicit when-to-use versus alternatives (e.g. verify_tip, recent_tips) and no stated exclusions or preconditions.

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.