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

Annotations only declare readOnlyHint and openWorldHint=false; the description adds substantive behavior beyond them — responses are written in the first person as Dikshant, sourced only from his public record, come with relevant links attached, and each call is stateless. The statelessness and sourcing constraints are exactly the kind of traits an agent needs and cannot infer from the annotations.

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?

Three sentences, front-loaded with what the tool is and what it answers about, then the response style, then the calling constraints. No filler and nothing repeated from the schema beyond the necessary 500-character reminder.

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 a single required parameter, no output schema, and minimal annotations, the description carries the remaining burden well: it describes the response format (first-person, public-record-only, link-attached) and the per-call constraints. An agent has everything needed to invoke it correctly.

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 100% and the schema already documents the single question parameter with a maxLength of 500 and an example. The description adds meaning on top of that by requiring the question to be self-contained and by noting statelessness, which tells the caller how to phrase the parameter rather than just its type and length.

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 pairs a specific verb (ask) with a specific resource (Dikshant Rajput's AI agent) and enumerates the topic scope: work, projects, experience, skills, availability, hiring. It is unambiguous about what the tool returns, though it never contrasts itself with the topically overlapping siblings list_experience and list_projects, so an agent cannot tell from this text alone when to prefer freeform Q&A over a structured listing.

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 gives concrete operational guidance: one self-contained question per call, 500-character cap, and an explicit warning that calls are stateless so context must be included. That is clear usage context, but there is no routing guidance against the sibling tools (get_contact, list_experience, list_projects), which the description never mentions.

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