get-journal-entries
Get journal entries for a company.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Company ID |
Get journal entries for a company.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Company ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that baseline: no mention of return volume, pagination, date-range filtering, or whether journal entries include line detail. With annotations carrying the entire behavioral load, the description's near-zero contribution warrants a low score.
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 short sentence with no filler, and the resource is front-loaded after the verb. It is efficient, though arguably too sparse to be considered well-structured for a data-retrieval tool.
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 list-returning read tool with no output schema, the description omits essential context: what a journal entry record contains, whether results are paginated, and whether any filtering beyond company ID is possible. An agent can call it, but cannot predict the shape or size of the response.
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 single parameter 'id' is fully documented in the schema as 'Company ID' (100% coverage), so the schema does the heavy lifting. The description adds no further parameter meaning, which is the expected baseline when schema coverage is complete.
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 states a specific verb ('Get') and resource ('journal entries'), so the agent knows what the tool retrieves. However, it offers no differentiation from siblings such as get-trial-balance, get-chart-of-accounts, or search-accounting-transactions, leaving the boundary between these read tools implicit.
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?
There is no guidance on when to use this tool versus the many other 'get-*' accounting read tools, nor any stated prerequisites or exclusions. The agent must infer usage entirely from the tool name.
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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