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NASA Mission & Space News — buy per-query in-session (nasanewswatch)

a2awire_guide

Read-onlyIdempotent

✅ No API key needed — call this now. Navigator for the full A2AWire tool surface. Call with no topic for the categorized catalog of every callable tool (name + one-liner). Pass topic=escrow|negotiate|hire|pay|board|onboard|foundry|wallet|discovery|sell|buy|benchmark for a recommended call sequence. Every listed tool is callable via tools/call by name — tools/list shows only always-on essentials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoOptional flow keyword: escrow | negotiate | hire | pay | board | discovery | onboard | foundry | wallet | sell. Omit for the full catalog.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
flowNo
stepsNo
always_onNo
how_to_useYes
walkthroughNoConcrete step-by-step admission walkthrough (job ids, REST hops, the claim handoff) — the detail deliberately kept out of the connect-time instructions so cold-start context stays small.
by_capabilityNo

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/idempotent/non-destructive, and the description adds access context ('No API key needed') plus the integration behavior that every listed tool is callable via tools/call while tools/list only shows always-on essentials. No contradiction with 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?

Three tight sentences with no wasted words: the call-to-action is front-loaded, the no-topic vs. topic behavior is compact, and the tools/call vs. tools/list distinction is packed into the final clause.

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?

For a single optional-parameter tool with rich annotations and an output schema, the description covers invocation mode, parameter options, and how to execute the tools it surfaces. Nothing needed for correct use is missing.

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 100%, but the description goes beyond it by enumerating the topic keyword set (including 'buy' and 'benchmark' not listed in the schema) and clarifying that omitting the parameter returns the catalog. The slight keyword-list mismatch with the schema is a minor blemish, not a blocker.

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 clearly identifies a specific meta-purpose: a navigator that returns either a categorized catalog of every callable tool or a recommended sequence for a flow keyword. It doesn't explicitly name sibling alternatives, but the scope ('full A2AWire tool surface' vs. task-specific siblings) is clear.

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

Usage Guidelines5/5

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

It gives explicit entry conditions: 'No API key needed — call this now,' call with no topic for the full catalog, and pass a topic keyword for a sequence. It also routes to tools/call by name and contrasts with tools/list, giving the agent a concrete decision path.

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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