fanar_deep_research_result

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

With no annotations, the description carries the full behavioral burden. It usefully signals this is a read operation whose return varies by job state (status, progress, or finished report), which is real behavioral information. It says nothing about authentication needs, error behavior for an unknown/expired job_id, or result retention/rate limits.

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?

One sentence, front-loaded with the verb and the three possible return states; no filler or 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 no output schema and no annotations, the description does cover the variable nature of the response, which is the useful part. However, for a polling tool it omits the critical operational context: how to obtain job_id and how to interpret a still-in-progress versus completed response.

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?

The single parameter job_id has 0% schema description coverage, so the schema provides no semantics at all. The description mentions 'deep research job' but never says where the job_id originates (presumably the fanar_deep_research response) or what shape it takes, so it does not compensate for the coverage gap.

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?

Names a specific verb (Fetch) and a specific resource (status, progress or finished report of a deep research job), and even identifies the underlying engine (Fanar-Sadiq-2). It does not explicitly contrast itself with the sibling fanar_deep_research (which starts a job), but the verb/resource pairing makes the retrieval role clear.

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?

Usage is only implied: an agent can infer this is called after fanar_deep_research to poll or collect results. There is no explicit when-to-use, no statement that the job_id comes from fanar_deep_research's response, and no guidance on polling cadence or when the result is final versus still running.

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