Service info (free)
service_infoFree: what the Galactic Radar exit check returns, its price and how payment works.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
service_infoFree: what the Galactic Radar exit check returns, its price and how payment works.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered by structured data. The description adds two genuinely new facts: the call is free and it explains payment flow, which is useful context an annotation cannot convey. It still does not describe response shape or whether authentication is required anywhere, so it is additive but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single short sentence with the key qualifier ('Free') front-loaded and zero filler. It is slightly under-specified rather than verbose, and the noun-phrase construction without a verb is the only structural weakness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description carries the burden of telling the agent what comes back, and it does list three payload topics (return shape, price, payment). That is adequate for a trivial zero-param info tool, but it remains unclear whether the return is prose documentation, a JSON sample, or structured pricing data, which matters for downstream planning.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline for a parameterless tool applies, and the description correctly avoids inventing parameter talk.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a resource (the exit check) and lists three content areas: its return payload, price, and payment mechanics, which does distinguish it from the sibling exit_check. However, there is no verb at all — it never says whether the tool returns documentation, a sample response, or pricing metadata — so an agent must infer that this is an informational endpoint rather than an execution of the check.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use guidance is given. The word 'Free:' hints that this is the no-cost precursor to the paid exit_check, but the description never says to call this before exit_check to learn cost, nor does it rule out any alternative sibling. Usage must be inferred entirely.
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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