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

With no annotations provided, the description carries the full burden and does a solid job: it discloses the output shape (latest answer, 20 events, before/after responses, evidence, field diff) and the authentication prerequisite (API key). The verb 'Read' implies a non-mutating operation, though it does not explicitly state side-effect-free behavior or rate-limit details.

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?

The description is compact and front-loaded, stating the core purpose in the first phrase, then adding useful output details and the API key requirement. Every sentence contributes essential information with no filler or repetition of the tool name.

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-parameter read tool with no output schema and no annotations, the description provides a strong picture of what the agent will receive and what is required to call it. It could go further by explaining error conditions or the meaning of 'evidence status', but the essential call and response context is adequately covered.

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% and the only parameter, id, is already documented as 'The monitor id from contrie_watch'. The description adds no further parameter-level meaning beyond referring to monitors, so the schema already carries the semantic weight. Baseline 3 is appropriate.

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 uses a specific verb ('Read') with a specific resource ('a monitor's history') and enumerates concrete contents: latest answer, evidence status, and the last 20 events with diffs. This clearly distinguishes it from the sibling tools, especially contrie_read, by scoping it to monitor history rather than a generic read.

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 description makes the tool's context clear: use it to inspect a monitor's history and recent events. It does not explicitly contrast it with contrie_read or other siblings, but the resource-specific wording gives enough guidance for an agent to select it appropriately. No misleading or alternative-referencing exclusions are present.

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