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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine behavioural context beyond that: the screen reports which routes the facts point to, the bench/DRAT for the place, the periods relevant at the current stage, and flags whether the matter clears a minimum claim-size threshold for engagement.

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 sentences, front-loaded with the verb and resource, then the output contents, then the usage condition. The first sentence is long and list-heavy but each element is load-bearing; nothing is padded or repeated.

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?

No output schema exists, so the description carries the return-value burden, and it does enumerate the report's contents well enough to set expectations. It stops short of describing the form of the result (structured screening output vs. narrative opinion), which would fully close the gap for an 8-param analytical 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 100%, including detailed enum semantics for stage, security, instrument, borrower_type and asking_as, so the schema does the heavy lifting. The description only groups the inputs loosely ('amount, security, instrument, debtor type, place and stage') without adding format or validation nuance, which lands at the baseline 3.

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 gives a specific verb and resource ('screens a debt-recovery matter from the creditor's side') and enumerates the concrete outputs (SARFAESI, DRT, IBC, cheque-dishonour routes, DRT bench/DRAT, statutory periods, minimum claim threshold). This is clearly separable from siblings like find_drt_bench, sarfaesi_timeline or calculate_tribunal_fee, which each cover only one slice of what this tool aggregates.

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 the triggering situation clearly ('Use when a lender, company or individual wants a first view of the options for recovering a debt'), which positions it as an entry-point screening tool against more granular siblings. It gives no explicit exclusions (e.g., when to skip it in favour of sarfaesi_timeline for deep timelines), so it falls short of a 5.

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