See my cash book
list_cash_entriesMoney the trainer recorded by hand (cash, Pix outside the app, expenses). Read only.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_cash_entriesMoney the trainer recorded by hand (cash, Pix outside the app, expenses). Read only.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so 'Read only' simply restates structured data. The description does add real context by disclosing the provenance and composition of the dataset (hand-recorded, cash/Pix outside the app, expenses), but says nothing about scope, ordering, or volume of results.
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 short sentences, front-loaded with what the data is. The trailing 'Read only' is redundant with the annotations and does not earn its place, a minor waste rather than a structural flaw.
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 no-parameter list tool with no output schema, the description should convey what an entry contains (amount, date, type, description), but it only names the source of the data. The agent knows the domain but not what shape of records comes back.
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?
Zero parameters, so the baseline of 4 applies — there is no parameter semantics to explain and the description does not introduce confusing implicit filters.
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 the resource precisely — money entries the trainer recorded by hand, explicitly enumerating cash, out-of-app Pix, and expenses — which distinguishes it from automated siblings like list_charges and list_payments. The listing verb itself is only carried by the tool name, not the description text.
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?
Use is implied by the data provenance clause: an agent can infer this is for manual/off-system money records rather than automated charges. However, no alternative is named (get_balance, get_statement, list_charges, list_payments all exist) and no when-not condition is given.
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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