Get Journal Summary

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering safety. The description adds the 'local DB' detail, indicating a local query rather than a network call, which is useful context. However, it does not disclose return format or behavior for empty journals, so it is adequate but not rich.

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 sentence that is front-loaded with the verb 'Queries', lists the data fields, and contains no filler. Every word 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?

For a zero-parameter read-only tool, the description lists all relevant return data categories (win rate, total trades, average confidence, recent trade logs). Even without an output schema, the tool's behavior is fully described for its intended use.

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 input schema has no properties, so parameter coverage is trivially 100%. With zero parameters, the description does not need to explain any parameter semantics, and the baseline of 4 applies.

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 uses a specific verb 'Queries' and names the resource 'local Trading Journal DB', followed by explicit data fields (win rate, total trades, average confidence, recent trade logs). This clearly distinguishes it from sibling tools like log_journal_entry, which writes to the journal.

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 implies when to use this tool (when you need journal summary statistics) but does not explicitly state exclusions or alternatives. The sibling list includes log_journal_entry as the write counterpart, so the read vs. write distinction is implicit but not spelled out.

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