health
Health check. Returns server status and optional echo.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| echo | No | Optional string to echo back |
Health check. Returns server status and optional echo.
| Name | Required | Description | Default |
|---|---|---|---|
| echo | No | Optional string to echo back |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for behavioral disclosure. It explicitly states that the tool returns server status and supports optional echo, which is transparent about its read-only nature. However, it doesn't describe the format of the status response or any edge-case behavior, leaving some gaps.
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 a single sentence with no filler. 'Health check' is front-loaded, followed immediately by the return value and the optional echo parameter, making it maximally concise and well-structured.
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 simple health-check tool with one optional parameter and no output schema, the description is sufficiently complete to inform invocation and expected behavior. It could specify the exact format of server status, but this is a minor gap given the tool's simplicity.
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 100% for the single 'echo' parameter, which is clearly described. The description merely repeats 'optional echo' without adding extra semantics beyond the schema, so the baseline score of 3 applies.
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 clearly identifies the tool as a health check that returns server status and optionally echoes a provided string. The verb 'Returns' and specific resource ('server status') make the purpose clear, and it's distinctly different from the sibling business-process 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?
There is no explicit guidance on when to use this tool versus alternatives, but the purpose is simple and self-evident: use it to check server health. The lack of exclusions or alternative references results in implied usage, which meets the minimum viable threshold.
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.
Each tool has a clearly distinct purpose, with complementary pairs like categorise_expenses (suggest) and apply_categories (apply), reconcile_transactions (match) and confirm_reconciliation (apply). No two tools appear to do the same thing.
Most tools follow a consistent verb_noun pattern (e.g., calculate_vat, draft_invoice, send_invoice), but 'health' deviates by being a plain noun, and there is a minor British/American spelling variation ('categorise' vs 'calculate').
9 tools is well-scoped for an accounting MCP, covering VAT calculation, categorization, reconciliation, invoicing, reporting, and health checks without redundancy or bloat.
Core workflows are well-covered, especially the propose/apply pairs for categorization and reconciliation. Minor gaps include lack of invoice read/update actions and no explicit transaction listing, but these are not critical given the server's focus.