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

With no annotations supplied, the description carries the full burden and does meaningful work: it discloses that secrets are never returned, only named placeholders, and it names the response fields including recipe status, access level, and reportToken. It stops short of stating permission/auth requirements or whether the call itself has any side effects, which leaves a gap for a zero-annotation tool.

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?

The purpose is front-loaded in the first clause, and the long agent list earns its space because the schema declares agent as a bare string with no enum. The prose is dense but not padded; the only mildly costly part is the alias enumeration, which could be tightened.

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, so the description properly describes what comes back, and it covers the two free-form string parameters that the schema leaves undocumented. The missing pieces are lang (which changes output language) and any statement of whether slug must come from a prior search — modest gaps for a four-parameter read 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 0%, so the description must compensate, and it partially does: it enumerates all valid agent values plus accepted site aliases, and lists the section values (skills, mcp, cli, plugins, workflows, prompts). However, slug is never explained beyond context, and lang (enum ru/en, default ru) is not mentioned at all — a real omission given the non-English default.

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 opening sentence gives a specific verb and resource: 'Get exact install steps for one catalog tool in one agent', then enumerates exactly what is returned (commands, config path/snippet, one-click links, variables, recipe status, access level). It does not explicitly distinguish itself from get_entry or recommend_for_project, so sibling differentiation is left to inference.

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 establishes the usage context clearly: this is the step to run for a single tool in a single agent, and it names report_install as the required follow-up with the returned reportToken. What it does not say is when NOT to use it — e.g. whether get_entry should be called first to obtain the slug or to check availability.

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