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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds meaningful context beyond them by disclosing the data provenance (bina.et/cinema) and that show times are 'as the cinema posted them', warning the agent that freshness/accuracy is the poster's, not verified. It also notes a link back to the cinema's own post, which hints at the response shape.

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?

It is a single front-loaded sentence that leads with the purpose and ends with the filtering affordance, with no filler. However, a large mid-clause enumerates returned fields (address, phone, show times, dates, post link) that the output schema already covers, which is mild redundancy.

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?

With an output schema present, the description need not enumerate return values, and what it does say — source, geographic scope, time window, filter options — is sufficient for correct invocation. Minor gaps remain around result volume/pagination and explicit routing away from list_films.

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% — both 'film' and 'cinema' are documented as partial-match strings in the schema. The description restates that both are substring filters with English/Amharic support but adds no new syntax, matching behavior, or combination semantics beyond the schema, so baseline 3 applies.

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 opening clause 'What is showing in Addis Ababa cinemas this week' names a specific resource and scope, and it grounds the data in a named source (BinaSmart Cinema, bina.et/cinema). It is clearly about showtime schedules rather than a film catalogue, but it never names or rules out the sibling list_films, so an agent picking between the two must infer the difference.

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 tells the agent that results can be narrowed 'by cinema or film title (English or Amharic)', which is useful invocation guidance for the two optional filters. There is no statement of when to prefer this over list_films or other siblings, and no exclusions or prerequisites, so usage is only implied.

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