editorial_stats

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

With no annotations, the description carries the full burden. It discloses that output is a list of key/value pairs and that dates narrow the period, with a default from journal inception. However, it does not state read-only nature, required authentication, or any side effects, leaving some behavioral gaps.

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?

Two concise sentences; the first states purpose and output format, the second covers date parameters. Front-loaded and free of fluff, every sentence adds value.

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?

The description provides the essential action and date semantics, but lacks detail on the return structure (keys present), the meaning of journal, and how this differs from publication_stats. With no output schema and no annotations, more completeness would help an agent decide correctly.

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 0%, so the description must explain all parameters. It explains date_from/date_to format and effect, but leaves the 'journal' parameter undefined (ID? name? optional?), and does not clarify how it is used in filtering. Incomplete compensation for the missing schema descriptions.

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?

Description clearly states it aggregates editorial statistics for a journal and lists examples (submission count, decisions, time to first decision) plus output format as key/value pairs. It is specific about the resource and action, but does not differentiate from sibling publication_stats, so it misses the sibling distinction.

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?

No guidance on when to use this tool versus publication_stats or other siblings. It explains date behavior but gives no context on selecting this tool over alternatives, no exclusions, and no prerequisites.

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