Skip to main content
Glama

Agent Control — Agent Meter

Agent Meter pricing

meter_pricing
Read-only

Can I pay this address? Buy looks_20 pack ($0.20) or look $0.10. Stamp ticket $0.05. No inbox. No Authorization / Bearer empty. Public catalog from this tool: look, looks_20, addresses_100, stamp_tx. default_sku is look. paid_sku looks_20. Base USDC (EIP-3009 exact) and Solana USDC. No email. No API key. Human App $29 plans are separate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint false. The description adds meaningful context: this endpoint requires no Authorization/Bearer, no API key, no inbox/email, supports Base and Solana USDC, and excludes Human App $29 plans. The 'Buy' wording reads as pricing guidance rather than a side-effect claim, so it does not rise to an annotation contradiction.

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

Conciseness2/5

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

The text is a run-on of fragments with no clear lead: 'Can I pay this address?' and 'Buy...' appear before the purpose-revealing 'Public catalog' clause. Important facts are packed together without hierarchical structure, making it hard to scan.

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

Completeness3/5

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

For a zero-parameter, read-only, annotation-backed tool, the description gives enough raw data (SKUs, prices, payment rails, auth constraints) to be minimally usable. However, it never explicitly states what the tool returns on invocation and does not distinguish itself from get_pricing, leaving the agent to infer the call's purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema coverage is 100%, so parameter-level documentation cannot add value. Baseline 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description hints at a read-only pricing catalog ('Public catalog from this tool: look, looks_20, addresses_100, stamp_tx') and gives concrete prices, so it is more than tautology. But it opens with 'Can I pay this address?' and 'Buy...' rather than a clear verb + resource, leaving ambiguity about whether the tool answers an eligibility question, returns a catalog, or executes a purchase.

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

Usage Guidelines2/5

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

No sentence tells an agent when to call meter_pricing instead of siblings like get_pricing or meter_buy_pass. The constraints (no auth, no API key, no email, separate Human App plans) are context, not decision criteria or exclusions.

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.