get_scan_transparency

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

With no annotations provided, the description carries the full behavioral burden and mostly succeeds: it frames the operation as a read ('Get... Returns') and enumerates exactly what data comes back. The main opacity is whether 'live cloud API endpoints' means the tool probes network connectivity or simply reads configured state, and no cost/latency implications are mentioned.

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 lead sentence, four dense bullets, and one usage line — every element earns its place with concrete data points. The core action is front-loaded and the itemized return list is highly scannable for an agent deciding whether to invoke it.

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?

For a single-optional-parameter read-only tool with no output schema, the description covers the return contract (four report sections) and the invocation context well. Minor gaps remain: it doesn't state whether any cloud calls are made at invocation time, how fresh the report is, or what happens when include_changelog is false, but these are not critical for correct invocation.

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?

Schema description coverage is 100%, so the boolean include_changelog parameter is already documented in the schema. The description's 'Recent changes to the MCP scan surface' bullet loosely aligns with that parameter but adds no new syntax, default-behavior, or edge-case information beyond what the schema provides. Baseline 3 applies.

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?

States a specific verb ('Get') and resource ('honest transparency report for this MCP server'), then itemizes the four report components. It is easily distinguishable from sibling getters like get_scan_results and get_security_score because it targets the server's own behavior (version, local check inventory, live cloud endpoints, changelog) rather than scan outcomes.

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?

The closing line gives explicit context: 'Use this to understand exactly what this server checks locally and which cloud features are live.' However, it never names alternatives or states when NOT to use it, so an agent must infer the boundary against siblings like get_account_quota or get_security_score on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.