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

Even with readOnlyHint and idempotentHint annotations, the description adds substantial behavioral context: daily Reddit query behavior, ingestion into Dataset, quota return format (including max -1 = unlimited), Watcher id relationship, and rate/account caveats. This goes well beyond the annotation hints.

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 dense but every sentence earns its place: definition, behavioral scope, quota detail, related operations, exclusions, cost/rate, and account prerequisite. It is structured with parentheticals and explicit cross-references, making it easy to scan despite its length.

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 read-only tool with no output schema, the description fully covers what the agent needs to know: what it lists, how it works, what it returns, related tools, and caveats. It is complete enough to invoke correctly without additional discovery.

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 has zero parameters and schema coverage is 100%, so no parameter explanation is needed. The description appropriately focuses on return behavior (quota) rather than parameter syntax. Per the rubric, a baseline of 4 applies for zero-parameter tools.

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 opens with a specific verb and resource: 'List your Keyword Monitor entries', and further clarifies exactly what these entries are (daily Reddit searches ingested into your Dataset). It also distinguishes itself from sibling tools by explicitly stating 'NOT the tagging rules — see tag_rule_list', and references related operations like keyword_monitor_create, watcher_update, and watcher_delete.

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 explicitly tells when not to use it ('NOT the tagging rules') and points to the correct alternative (tag_rule_list). It also frames the tool's operational context: it is not a live Reddit call, is free but rate-limited, and requires a Prowlo account. Related add/pause/delete actions are mapped to sibling tools, providing clear navigational guidance.

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