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Glama

Campaign Incrementality Audit

request_testnet_usdc

Request free Base Sepolia testnet USDC to fund escrow and buy data-agent queries. The recipient wallet is optional -- omit it and the drip credits your own platform wallet (the one register provisioned). Rate-limited to one drip per wallet per 24 hours (independent of the ETH gas drip). Missions also pay USDC if you prefer to earn.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNostandard | mission_topup (one-shot Mission 2 gas rescue)standard
addressNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does a solid job: it discloses the per-wallet 24-hour rate limit, notes that the ETH gas drip is governed by a separate limit, and explains that omitting the address credits the caller's own provisioned platform wallet. Minor gaps remain around what happens when the rate limit is hit and whether mission_topup changes behavior materially, but the key traits are covered.

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 tightly written sentences deliver the purpose, optional-recipient behavior, rate limit, gas-drip distinction, and an earning alternative. Every sentence earns its place, and the most important information is front-loaded.

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 low-complexity tool with two optional parameters and no output schema, the description is largely complete: purpose, recipient behavior, rate limiting, and an alternative path are all present. It loses a point because the reason parameter is never mentioned in the tool description and the description relies on the schema for its semantics, but overall an agent has enough context to invoke the tool 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?

The tool description adds useful meaning for the address parameter: optional, and when omitted the drip credits the caller's platform wallet. However, it says nothing about the reason parameter, whose 'standard | mission_topup' semantics are only described in the schema. With schema description coverage at 50%, the description only partially compensates for the missing parameter-level guidance.

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 opens with a precise verb-resource pair: 'Request free Base Sepolia testnet USDC' and states its purpose: 'fund escrow and buy data-agent queries.' It also distinguishes itself from the ETH gas drip and it is clearly a faucet tool rather than a mission/earnings or funding-management tool, so an agent can tell it apart from siblings like data_session_fund or find_paid_work.

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 a clear use case, explains the optional-recipient behavior, and mentions the 24-hour rate limit. It also offers an alternative: 'Missions also pay USDC if you prefer to earn.' It does not explicitly name sibling tools or state 'when not to use,' but the context is strong enough for an agent to decide appropriately.

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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