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

With no annotations, the description carries the full behavioral burden. It usefully discloses the return payload and clarifies that results are dated facts rather than a derived score, but says nothing about behavior on an unknown/unobserved server id, how far back history goes, or any access constraints. Adequate but with real gaps for a zero-annotation tool.

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?

Front-loaded 'When to call' then 'Returns' then parameter note is a good order and every section is short. The inline Example JSON adds little beyond the schema's own example, keeping it just short of maximal.

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?

There is no output schema, so the description correctly spends its words enumerating the return fields and their meaning. For a single-parameter read tool this is nearly complete; only edge-case behavior (no history for an id) is unaddressed.

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 single required parameter is fully described in the schema, so baseline is 3; the description adds a genuinely new fact by stating the id lives in the same identifier space as trust_score, which matters for cross-tool chaining. The repeated example value is redundant with the schema but the namespace note is real added value.

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 the resource (an MCP server's observed schema/tool-list history) and the shape of what comes back (first_seen, last_observed, drift_events, observations[]), then explicitly distinguishes itself from its two siblings by routing the derived score to trust_score and dependency mortality to dependency_risk. An agent can pick this tool without opening any schema.

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 'When to call' section gives concrete trigger conditions (before integrating, before pinning tool names, when checking whether the tool list changed under the same server id) and the 'Returns' section explicitly hands off to trust_score for the score and dependency_risk for dependency counts. When-to-use and alternatives are both stated rather than inferred.

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