Dict Faculties

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

No annotations are supplied, so the description carries the full disclosure burden, yet it says nothing about read-only semantics, whether the list is complete or paginated, or what happens for an unknown id. Only the implied side-effect-free nature of a 'dict' lookup is communicated.

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?

A single front-loaded sentence with no filler; the resource and scoping constraint come first. It is efficient but extremely sparse for a tool with no supporting metadata.

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 one-parameter dictionary lookup with no output schema, this is close to sufficient, but the lack of any return-shape hint (even 'list of faculty names/ids') and the missing id provenance leave gaps an agent must guess at.

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 coverage is 0% (the single 'id' string has no description), so the description must compensate. It does clarify that the id refers to an educational institution rather than any other entity, but adds no format, source, or validity details for the parameter.

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?

States a specific verb and resource ('Get the faculty list') scoped to one educational institution identified by id. An agent can tell this is a sub-resource lookup distinct from dict_educational_institutions, though no sibling is named explicitly.

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 when-to-use guidance, no note that the id must first be obtained from dict_educational_institutions or suggest_educational_institutions, and no exclusions. The phrase 'by its id' only indirectly implies the dependency.

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