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

With no annotations provided, the description carries the behavioral burden, and the GET path implies a read operation. It also states the company requirement and that query fields are flat, but it does not cover authentication, pagination, rate limits, or what 'Fixed JSON' means.

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 definition is short and front-loads the endpoint, then states the required company and query handling. 'Fixed JSON' is slightly ambiguous jargon, but overall the structure is efficient.

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?

An output schema exists, so return values need not be described. For a filter-heavy GET endpoint with no annotations and 0% schema description coverage, the description gives the minimum needed to call it, but leaves pagination and query details dependent on a separate describe tool.

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 compensate: it identifies company_name as required and describes query as flat filter fields, pointing to describe_nextesy_operation for filters. It still does not explain the query object's shape, defaults, or accepted values in detail.

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 identifies a specific HTTP verb and resource path, 'GET /api/v1/accounting/journal/entries', which makes the retrieval purpose inferable. However, it does not explain the business meaning of journal entries or distinguish the tool from similar accounting retrieval 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?

It states that an explicit company is required and points to describe_nextesy_operation for filter details, giving some usage context. It does not say when to use this tool instead of related accounting or ledger tools.

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