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albeorla

financial-agent

by albeorla

list_calendar_facts

Retrieve normalized calendar facts filtered by type, date range, and status to support financial planning and reconciliation.

Instructions

List local normalized calendar facts with optional filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fact_typeNo
start_dateNo
through_dateNo
statusNoactive
related_entity_typeNo
related_entity_idNo
db_pathNo
Behavior1/5

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

No annotations provided, and the description fails to disclose read-only nature, return format, side effects, or any constraints. 'List' implies a read operation, but without annotations, this is insufficient for an agent to understand behavior.

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

Conciseness2/5

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

The description is a single sentence, which is concise but too minimal. It lacks front-loaded key information, such as what a 'calendar fact' is, and does not earn its place by providing sufficient detail.

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

Completeness1/5

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

Given no annotations, no output schema, and 7 undocumented parameters, the description is wholly inadequate. It does not explain the concept of 'calendar facts', 'normalized', or the nature of filters, leaving the agent with little to no context for correct invocation.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description only states 'optional filters' without explaining any of the 7 parameters. Parameter names like 'fact_type' and 'status' are partially self-explanatory, but the description adds no meaning beyond the schema.

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

Purpose4/5

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

The description clearly states the verb (list) and resource (local normalized calendar facts), which is specific. It distinguishes from siblings like 'import_calendar_facts' by its action, but does not explicitly differentiate from other list tools.

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

Usage Guidelines2/5

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

No guidance on when to use or avoid this tool versus alternatives like 'list_obligations'. The phrase 'optional filters' does not clarify which sibling tools serve similar filtering purposes.

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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