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retry_application

Re-run an Application's analysis lane (create/update). Works on a failed application and also on a healthy one whose stored analysis should be refreshed (e.g. after platform detection improvements). Refuses while the application is mid-operation or already has an active job.

Input Schema

NameRequiredDescriptionDefault
application_idYesThe Application's id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavior: the dual trigger conditions (failed vs. stale-healthy) and the explicit refusal guard against concurrent operations or an active job, which explains the non-idempotent hint in operational terms.

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?

Three tight sentences, front-loaded with the action, then eligibility, then the refusal guard. Nothing is redundant, though the parenthetical '(create/update)' is slightly opaque without further context.

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 single-parameter trigger tool with no output schema, the description covers the important behavioral questions: when it applies, when it refuses, and that it may be run against a currently healthy application. It does not say whether the call returns immediately with a job handle or requires polling via get_application_jobs, which is the remaining minor gap.

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?

There is only one parameter and schema description coverage is 100%, so the schema fully documents application_id. The description adds no format, sourcing, or lookup guidance for that id, so the baseline 3 applies.

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

Purpose4/5

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

The description gives a specific verb and resource ('Re-run an Application's analysis lane') and qualifies it with '(create/update)', so the agent knows this targets the analysis pipeline rather than a deploy or workflow. It stops short of naming the closest siblings (rerun_application_workflow, retry_execution, retry_data_run), so differentiation still requires inference from the resource names.

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?

It states two positive conditions (a failed application, or a healthy one whose stored analysis is stale after platform-detection improvements) and one negative condition (refuses while mid-operation or when an active job exists). That is clear context plus an exclusion, but it never names an alternative tool for the cases it declines, which is what a 5 would require.

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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