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djb2 hex, input discarded

agent-tool-index

Find a public pay-per-call tool gateway (Monid). Returns CLI setup, how-it-works, skill file, and remote MCP hops. Task text discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

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

  1. First observed

TDQS

D1.8/5.0
Behavior2/5

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

The description reveals that task text and parameter values are discarded after shape checks, which is a useful side-effect disclosure. However, it does not state whether the tool makes network calls, whether it has costs, what errors may occur, or whether it is a read-only operation.

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

Conciseness3/5

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

The main description is short and starts with the primary action, which is good. But the repeated 'discarded after...' notes in the schema add noise without adding useful information, and the overall structure is more cryptic than concise.

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

Completeness1/5

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

There is no output schema, no explanation of what 'connection methods' look like, no error behavior, and no usage context. The tool is far from complete for an agent to invoke effectively.

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

Parameters2/5

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

All 9 parameters have descriptions, but most descriptions emphasize that values are 'discarded after' checks, so they provide little real semantic meaning. The connection between parameters and the task domain (e.g., city-to-weather, query-to-search) is only hinted and not systematically explained.

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

Purpose2/5

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

The description states the tool 'finds a public pay-per-call tool gateway' and returns 'connection methods', but it never explains how the task is specified. The 9 optional parameters are not clearly tied to the examples (weather, search, scrape, voice), and the phrase 'Task text discarded' confuses the core input.

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

Usage Guidelines1/5

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

No guidance is given about when to use this tool versus any sibling tool, what kind of request fits it, or what conditions favor it. The examples 'weather, search, scrape, or voice' are too broad and do not map to concrete parameter usage.

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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