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CorporateTravelDC

CorporateTravel Dispatch MCP

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dispatch_get_feeds

Read-onlyIdempotent

Retrieve last updated timestamps and error states for all dispatch feeds to identify stale or failing data sources.

Instructions

Get freshness and error state for all dispatch data feeds.

Returns per-feed metadata: last_updated timestamp, age_seconds, whether the feed is in an error state, and the last error message if any.

Returns: str: JSON dict keyed by feed name (tfr, metar, nws, notam, amtrak, atcscc_opsplan, runsheet). Each entry includes last_updated, age_seconds, error (bool), error_msg (str|null).

Examples: - "Which feeds are stale or erroring?" -> call and filter error==true - "When was weather last updated?" -> call, check metar.last_updated

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds value by detailing the return structure (per-feed metadata with last_updated, age_seconds, error, error_msg) and examples, without contradicting annotations.

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

Conciseness5/5

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

The description is brief and well-structured: a one-line purpose, a bulleted return format, and concrete examples. Every sentence adds value with no redundancy.

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

Completeness5/5

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

Given no parameters and the presence of an output schema, the description is complete. It explains the return format, lists specific feed names, and provides typical use cases.

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 the input schema is fully covered (100%). The description does not need to add parameter semantics; a baseline of 4 is appropriate.

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 explicitly states 'Get freshness and error state for all dispatch data feeds,' using a specific verb and resource. It clearly distinguishes this tool from siblings that fetch individual feed data (e.g., dispatch_get_tfr) by focusing on metadata.

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?

The description provides example questions implying usage (e.g., checking stale feeds), but it does not explicitly state when to use this tool versus alternatives like dispatch_get_tfr. No exclusions or when-not-to-use guidance is given.

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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