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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds useful behavior beyond that: data comes from a backend JSON asset, results must be paged, and visible page rows are an unreliable subset. It doesn't cover rate limits or result-size expectations.

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 what the tool returns, then constraints and the alternative tool. Every clause carries actionable information with no filler.

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?

An output schema exists, so return values need no explanation, and the description correctly focuses on slug format, filtering route, and pagination. The notable gap is the undocumented non-required filter parameters, which force an agent to consult the options tool for basic usage.

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 0% across 7 parameters, so the description must carry the burden. It clarifies the required 'slug' (host-free team draft-picks slug) but says nothing about q, page, year, round, position, or per_page, leaving six of seven parameters undocumented anywhere.

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 ('List complete historical NFL team draft picks') plus the data source ('the page's public JSON asset'). It explicitly names the sibling it is not ('use sportskeeda_draft_picks_options for exact filters'), so an agent can distinguish the two without opening schemas.

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?

Gives clear operational context: defer to sportskeeda_draft_picks_options when exact filters are needed, and page through the full result rather than trusting visible page rows. No explicit 'when not to use' beyond the filter routing, so it stops 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.