atlas_ingest_health_data

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Store' signals a write operation, but the description does not say whether data is appended, overwritten, merged, validated, or deduplicated, nor what happens to existing records. This is insufficient for a mutation/injection 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 description is a single, front-loaded sentence that communicates the core purpose efficiently with useful examples. There is no filler, redundant phrasing, or 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 write tool with no annotations and no output schema, the description should clarify storage semantics, data shape expectations, and behavior with existing records. It only identifies the domain and leaves important operational context uncovered, which is incomplete for reliable invocation.

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 100%, so parameter meaning is already well documented by the schema itself. The description adds category examples that roughly map to the 'category' enum, but it does not add meaning beyond the schema's property descriptions. Baseline 3 is appropriate.

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 states a specific action ('Store') and resource ('health-related information'), with concrete examples (lab results, sleep data, nutrition logs) that make the tool's domain clear. It is distinguishable from resume, LinkedIn, and chat history ingest tools, though the broad phrase 'other health-related information' could blur the boundary with atlas_ingest_genetic_data.

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 guidance about when to choose this tool over alternative ingest tools. No exclusions, conditions, or sibling references are provided, so an agent must infer usage solely from the tool name and general category. This is a clear gap given the large sibling set.

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