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

No annotations are provided, so the description carries the full burden and discloses almost nothing behavioral: no statement about result ordering/relevance ranking, result shape, whether the search is fuzzy or exact, or how the limit parameter affects output. The only hint is that it spans multiple content types.

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 front-loaded sentence with no filler. The enumerated list is long but each item carries information about coverage, so it earns its place; it stops short of 5 only because the list could be grouped more crisply.

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?

For a two-parameter search tool with no annotations and no output schema, the description should explain at least the result behavior and the limit parameter. Neither is covered, leaving the agent unable to predict result count or shape before invoking.

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 50%: 'query' is documented in the schema, but 'limit' has no description anywhere. The description adds no meaning to either parameter — it does not mention the limit, default result count, or anything about query syntax beyond the examples already in the schema.

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 ('Search') and enumerates the resource types covered (guides, industry pages, training data types, buyer profiles, glossary terms), so an agent knows exactly what corpus is queried. It does not, however, distinguish itself from siblings like get_facts or list_data_buyers, so the boundary is left implicit.

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?

There is no explicit instruction on when to use this tool versus get_facts, get_page, or list_data_buyers. Usage is only inferable from the enumerated content list; no when-not or alternative-routing guidance is given.

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