store_read_log

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

With no annotations, the description takes on the transparency burden. It adds meaningful behavior beyond the name by calling the log 'live' and noting it mirrors the console panel entries, which signals freshness and fidelity. It does not enumerate return structure, but that is reasonably inferred from the 'same entries' phrasing.

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 sentences deliver a definition, a behavioral anchor, and a use-case recommendation with no filler. The core purpose is front-loaded and every phrase earns its place.

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?

The description is sufficient for a zero-parameter read-only tool: it identifies what is returned, the freshness of the data, and the intended workflow. The only minor gap is the absence of explicit return-format details, but the console-panel reference covers this adequately.

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 has zero parameters, so the baseline is 4 under the rubric. The description correctly avoids inventing parameter details and instead focuses on what the log contains and when it should be consulted.

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 opens with a specific verb and resource: 'Read the store's live tool-call log.' It further clarifies the object by referencing the same entries shown in the console panel, which distinguishes it from sibling tools like store_status and store_open.

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?

The description explicitly states when to use the tool: 'Use it to confirm what the store actually did before reporting success.' It provides clear context for invocation, though it does not name alternatives or exclusion conditions.

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