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Deal with a stopped application

resolve_escalation

Deal with a stopped application. action: retry (after answering), took_over (they finished it themselves) or dismiss. A ready-to-read summary is in say.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
application_idYesApplication id, from prepare_application or list_applications.
confirmation_tokenNoThe token from a held answer, sent with exactly the same other inputs once the person has agreed to its summary.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=true). The description adds that a ready-to-read summary is returned in `say`, which is useful response context, but it omits what actually happens to the application on retry vs dismiss and any auth/permission requirements.

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?

Two tight sentences, front-loaded with purpose, then the action vocabulary, then a note on the response field. Everything is roughly load-bearing, though the parenthesis '(after answering)' is cryptic and costs a little precision.

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 3-parameter mutation tool with no output schema, the description covers the action vocabulary and mentions the `say` response field, which is adequate. It still leaves the escalation lifecycle (how escalations arise, relationship to list_escalations/prepare_application) and the confirmation-token flow implicit.

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?

Schema coverage is 67%, and the one undocumented parameter (`action`, no schema description, no enum) is fully enumerated and glossed in the description. The meaning of took_over ('they finished it themselves') and the ordering note for retry adds real value the schema lacks; only the terse '(after answering)' leaves a gap.

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 verb 'deal with' is vague, but the three action values (retry, took_over, dismiss) pin down that this resolves a stopped application/escalation. It never mentions the sibling list_escalations or distinguishes itself from stop_application, so the agent must infer the relationship from the name alone.

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?

Each action value implicitly describes a scenario and 'retry (after answering)' signals a prerequisite ordering, which is genuine usage context. However, there is no explicit when-to-use guidance, no exclusions, and no pointer to list_escalations as the way to discover what needs resolving.

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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