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

With no annotations provided, the description carries the burden, and it does disclose the return shape ('products and page counts'), which is useful context. It stops short of stating that the call is read-only, side-effect free, or how large the listing can get, though an output schema exists to cover return structure.

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 short sentences, front-loaded with the core purpose and followed immediately by the return contents. No filler, no restatement of the tool name.

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 zero-parameter listing tool with an output schema, the description plus structured fields give an agent everything needed to invoke it. The only real gap is the absence of guidance routing between this tool and search_semarchy_docs.

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 nothing for the description to disambiguate beyond what the empty schema already shows. Baseline of 4 applies for a parameterless listing tool.

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 available Semarchy documentation topics and products') and clarifies the scope as an indexed-content overview. It is clear on its own, but never names or contrasts with its only sibling search_semarchy_docs, so an agent must infer the division of labor.

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: 'Returns an overview of what documentation has been indexed' suggests a discovery/browse role that logically precedes search_semarchy_docs, but no when-to-use condition, prerequisite, or alternative is stated explicitly.

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

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

With no annotations, the description carries the full behavioral burden. It discloses that matching is semantic and gives the default result count, which is useful, but it says nothing about rate limits, permissions, behavior on empty results, or how many documents are indexed. For an unannotated tool this is a thin disclosure.

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 leads, followed by a compact Args list with no filler. Every line earns its place; the only mild redundancy is restating the product values that also appear in the sibling scope line.

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 not be described. Parameters are well covered and the purpose is clear; the remaining gap is usage routing against list_semarchy_topics, which keeps it just short of complete.

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 largely does: it explains query as natural language, enumerates the exact product filter values ("xdm", "xdi", "xdg") with the omit-to-search-all behavior, and states max_results' default. This meaningfully exceeds what the bare schema provides.

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 names a specific verb (Search), resource (Semarchy documentation), and even the matching mechanism (semantic search), covering the xDM/xDI/xDG scope. It is clear and unambiguous, but it never differentiates itself from the sibling list_semarchy_topics, so it falls short of a 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?

There is no statement of when to use this tool versus list_semarchy_topics, nor any prerequisites or exclusions. The only conditional instruction ('Omit to search all') concerns a single parameter's behavior rather than task-level routing, leaving the agent to infer when semantic search is appropriate.

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