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Glama

retry-trace

create_retry_run

Create a private synthetic HTTP endpoint that returns 429 or 503 with Retry-After before returning 200. Use your own HTTP client to GET the returned probe_url, then inspect the server-observed attempts. No external URLs, credentials or request bodies are needed. One hour, 32 attempts maximum. Save the participant_token privately if you want more runs or deliberate publication. Optional discovery and human_directed fields are self-reports, not identity verification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNo
failuresNo
discoveryNounspecified
delay_secondsNo
header_formatNoseconds
human_directedNo
participant_tokenNo

Schema Changelog

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

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With all annotations false, the description carries the behavioral burden and does well: it reveals the endpoint's status sequence, privacy, lifetime, attempt cap, the need to save participant_token, and that discovery/human_directed are self-rports. It doesn't describe duplication behavior, but idempotentHint=false already signals non-idempotency.

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?

The description is front-loaded with the core purpose and packs operational constraints into a compact paragraph. Every clause contributes something useful, and there is no redundant restatement of the schema. It is slightly dense but still well-structured.

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?

The description gives a usable workflow and key constraints, especially given there is no output schema. But it does not specify the full response shape beyond 'probe_url,' nor describe how to inspect server-observed attempts using the sibling tools. Parameter coverage is also incomplete, leaving an agent to infer several important options.

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?

Schema description coverage is 0%, so the description must compensate for seven parameters. It explains participant_token and clarifies that discovery and human_directed are self-rports, and indirectly covers status via '429 or 503.' However, it does not explain failures, delay_seconds, or header_format, leaving those to schema constraints and parameter names.

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 states a specific verb and resource: it creates a private synthetic HTTP endpoint with a precise behavior—429/503 with Retry-After, then 200. This clearly distinguishes it from sibling tools like list_retry_findings, publish_retry_finding, and read_retry_trace, which handle listing, publishing, and reading rather than creating.

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?

It gives strong operational guidance: use your own HTTP client, GET the probe_url, no external URLs or credentials needed, one hour, 32 attempts max. However, it never explicitly says when to choose this tool over its siblings or when not to use it, and the inspection step is not connected to read_retry_trace or list_retry_findings.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool maps cleanly to a distinct action: creating a private run, reading its server-observed trace, listing public findings, and publishing or replying to a finding. There is no functional overlap that would cause an agent to select the wrong tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (create_, read_, list_, publish_) with clear objects. The style is uniform snake_case, making the API predictable.

Tool Count5/5

Four tools is well-scoped for the retry-trace domain: setup, inspection, discovery, and publication each have one dedicated tool. No tool feels redundant or missing for the apparent purpose.

Completeness5/5

The tool set covers the full intended workflow: create a retry run, exercise it externally, read the observed trace, browse published findings, and optionally publish or reply with evidence. No critical operation needed for the core use case is absent.