get_event_study_journal

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

With no annotations provided, the description carries the behavioral disclosure burden. It reveals that the underlying records are 'append-only,' implying immutability, and explicitly states the tool 'never accesses a chart,' which is a useful behavioral constraint. It does not detail output format or error behavior, but it provides meaningful transparency beyond the name.

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 compact and well-structured: the primary listing behavior comes first, the conditional comparison mode follows, and the key exlusion is in a short final sentence. Every sentence adds useful information with no filler.

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 provides enough to understand the two invocation modes and the tool's relationship to charts, given the absence of an output schema and annotations. However, it does not explain what the returned records look like, how hypothesis_id affects behavior, or what exactly 'compare' returns, leaving some important context missing for correct invocation and interpretation.

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. It explains the conditional role of study_ids and evidence_hashes in compare mode, but it does not describe hypothesis_id at all, and the exact meaning of 'compare exact selected records' is only partially specified. This is adequate but leaves a clear gap.

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 and resource: it 'List[s] append-only market-event and observational feature-study evidence records' and can also 'compare exact selected records'. It also disambiguates itself by stating 'It never accesses a chart,' which separates it from chart-related sibling tools.

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 gives clear mode-selection logic: listing is the default behavior, while comparison is used 'when both study_ids and evidence_hashes are supplied.' It also states a clear when-not condition: it never accesses a chart, so it should not be chosen for chart access. It does not explicitly name alternative tools, but the context is clear.

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