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tag_stats

Compute min, max, mean, and standard deviation for specified tags in a TensorBoard event file.

Instructions

Get statistical measures (min, max, mean, std) for each specified tag's values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_fileYesPath of the tensorboard event file.
tagsYesList of tags to show the stats for.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
Behavior4/5

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

No annotations are provided, so the description carries full burden. It clearly states the tool computes min, max, mean, std, which implies a read-only operation. However, it does not explicitly confirm no side effects or mention data handling assumptions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, 14 words, front-loaded with the key action and output. No wasted content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is straightforward, has an output schema (so return value explanation is not needed), and has 100% schema coverage, the description is complete enough for an AI agent to understand and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 100% description coverage, so the baseline is 3. The description does not add additional semantic detail beyond the schema's parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the action ('Get'), the resource ('statistical measures'), and the scope ('for each specified tag's values'). It distinguishes from siblings like 'correlation' or 'query' by focusing on statistical measures.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives such as 'query' or 'tag_steps'. Usage is implied from the description, but no when-not or alternative tool names are provided.

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

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