abraflexi_get_company
Show the ABRA Flexi company the login points to (name, company id, state). Use it to check the connection.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Show the ABRA Flexi company the login points to (name, company id, state). Use it to check the connection.
| 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, so the safety profile is covered. The description adds real context beyond that — that the result is scoped to the login's credentials and what fields come back — but says nothing about failure behavior when credentials are invalid, which is the core risk for a connection-check tool.
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, zero waste; the resource and return fields come first and the use case follows. Nothing is padded or restated from the title.
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?
With no output schema and no parameters, the description usefully compensates by naming the three returned fields. Behavioral edge cases (invalid login, empty state) remain undocumented, which keeps it just short of complete.
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 tool takes zero parameters, so the baseline is 4. The description correctly implies no input is required and instead spends its words on output content.
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?
States a specific verb and resource ('Show the ABRA Flexi company the login points to') and enumerates the returned fields (name, company id, state). No sibling returns company data, so it is naturally distinguishable, though the description never says so explicitly.
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 it to check the connection' gives one concrete scenario, which is genuine usage guidance. It offers no when-not-to-use condition or comparison to any alternative, leaving the agent to infer the rest.
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.