Read financial data in Feegow. Actions:
list_suppliers, search_supplier, list_categories, list_cost_centers, list_transfers, list_invoices, list_current_accounts, find_invoice_nfse, list_credit_card_brands, list_vouchers, list_sales, list_private_tables, get_dmed. All params are passed as JSON in the "data" field.
[Flattened action: find_invoice_nfse]
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | ||
| account | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description adds minimal behavioral context beyond stating 'Read financial data'. It mentions parameter format (JSON in data field) but omits details like response structure, pagination, or auth requirements.
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 short but padded with a long list of unrelated actions and a confusing 'Flattened action' note. It should focus only on this tool, making the current content inefficient and hard to parse.
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?
Given the lack of output schema and parameter descriptions, the description fails to provide essential context about what the tool returns, how to structure the data parameter, or what an invoice NFSE is. It is inadequate for effective agent usage.
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% and the description only notes that all params are passed as JSON in the 'data' field. There is no explanation of what the 'data' or 'account' parameters represent or what JSON structure is expected for find_invoice_nfse, leaving the agent unable to construct valid inputs.
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 only says 'Read financial data in Feegow' and lists many actions including find_invoice_nfse. It does not clarify what an invoice NFSE is or what 'find' means, failing to distinguish from sibling tools like list_invoices. The verb is vague and the resource is not defined.
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?
No guidance is provided on when to use this tool versus alternatives such as feegow_financial_list_invoices or other search tools. There are no prerequisites, exclusions, or context for appropriate use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have identical descriptions (e.g., multiple tools with same 'Read appointments and scheduling data' text) and only differ by a 'flattened action' label, making it impossible for an agent to distinguish which tool to call for a specific operation.
Names follow a loose verb_noun pattern but are extremely inconsistent: some use underscores, some have redundant prefixes like 'feegow_appointment_', and the same actions are duplicated across multiple tool names (e.g., 'list' appears in many). The 'flattened action' suffix is confusing.
94 tools is far too many for a clinic management system. This is clearly due to a one-action-per-tool design that fragments the API surface, making the server bloated and hard to navigate. A typical well-structured server for this domain would have 10-20 tools.
The server covers many areas (appointments, patients, financial, procedures, stock, etc.), suggesting broad functionality. However, the fragmentation obscures gaps and makes it difficult to determine if all CRUD operations exist for each entity. Some areas (e.g., stock write) have multiple tools for single actions.