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Beacon's offers

list_offers
Read-only

The three things Beacon sells (AI answer audit, visibility monitoring, ChatGPT app and plugin builds), who each is for and what is included. No prices: every engagement is quoted.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without the description. The description contributes the useful caveat that no pricing data is returned (engagements are quoted separately), which pre-empts a common misinvocation, but says nothing about ordering, size, or refresh behavior.

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?

Two short sentences, front-loaded with the payload contents and closed with the one scope caveat. Every clause carries information; nothing is redundant with the title or annotations.

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?

With no parameters and no output schema, the description carries the burden of conveying what a caller receives, and it does so by enumerating the three offers and their framing (audience, inclusions). A sentence on how the offers are returned or how they relate to get_resource/get_overview would close the remaining gap.

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 takes zero parameters, so the baseline of 4 applies; there is nothing for the description to disambiguate. It correctly avoids inventing arguments and instead spends its words on the response contents.

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 names the resource and enumerates its exact contents ('the three things Beacon sells: AI answer audit, visibility monitoring, ChatGPT app and plugin builds'), so an agent knows precisely what comes back. It lacks an explicit verb ('list' lives only in the name) and never names the sibling tools it differs from, but the content specificity is strong enough to separate it from get_overview and list_resources in practice.

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?

There is no explicit 'use this when' statement and no reference to the alternatives (get_overview, get_resource, list_resources). The only guidance is a negative boundary — 'No prices: every engagement is quoted' — which tells the agent not to call this for pricing but leaves the positive selection condition implied.

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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