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

With no annotations, the description carries the full behavioral burden. It discloses that presence-rate values are ratios from 0 to 1 and can be null when data is unusable, which is useful output context. However, it does not state whether this is a read-only operation, whether it requires specific permissions, or any rate limits or side effects.

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 two sentences, front-loaded with the core purpose and followed by a crucial data caveat. It is efficient and wastes little space.

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 tool with no annotations, no output schema, and two optional parameters, the description is adequate but not complete. It explains the forecast output format (ratios, nulls) but omits usage context, read/write nature, and how the window and horizon parameters affect results. An agent can call it, but with some uncertainty about the semantics.

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 baseline is 3. The description adds no additional parameter meaning beyond what the schema provides – it doesn't explain how windowDays and horizonDays interact or the implications of different values.

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 clearly states a specific verb (forecast) and resources (short-term primary citations and presence-rate direction) using recent project visibility trends. It distinguishes itself from siblings like devtune_get_citation_analysis or devtune_get_visibility_summary by being predictive rather than descriptive. However, it doesn't explicitly contrast itself against those siblings.

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?

There is no explicit guidance on when to use this tool versus alternatives. The phrase 'short-term' is the only temporal hint, but no conditions or exclusions are provided. An agent must infer that this is for forecasting, but when to choose it over other intelligence or citation tools is unclear.

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