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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety and determinism profile is covered elsewhere. The description adds real value beyond that by disclosing provenance metadata returned with the data: grid version, the date it was last checked against ontario.ca, and the official source URL, which tells the agent how to judge freshness and authority of the figures.

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?

A single sentence with zero filler, front-loading the primary payload (factors, bands, point values) and then listing the supporting metadata. Nothing is repeated from the name or annotations, and nothing could be removed without losing information.

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?

There is no output schema, and the description compensates by enumerating the returned contents: all factors, bands, point values, plus version, last-checked date and source URL. For a zero-parameter read-only lookup tool, that is everything an agent needs before invoking it.

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 tool takes zero parameters, so there is no argument semantics to explain; the baseline for a no-param tool applies. The description correctly spends its words on what comes back rather than inventing parameter discussion.

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 uses a specific verb ('Returns') with a precisely scoped resource: every factor, band and point value of the Ontario Workforce Priority Stream EOI scoring grid. This clearly separates it in spirit from calculate_oinp_score (which computes a score rather than exposing the grid), but it never names a sibling tool, so it stops short of an explicit 5.

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 it should call this to look up grid factors and point values, e.g. before or instead of running a calculation. There is no explicit when-to-use statement, no mention of when-not to use it, and no reference to calculate_oinp_score as the alternative when an actual score is needed.

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