get_institution
Gets a financial institution by its ID. Returns the institution's title, currency, and creation date.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The unique identifier of the institution. |
Gets a financial institution by its ID. Returns the institution's title, currency, and creation date.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The unique identifier of the institution. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and a closed-world scope, so safety is covered. The description adds value beyond them by disclosing the returned fields (title, currency, creation date), which matters since there is no output schema.
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 filler, with the primary action front-loaded and the return payload following. Every clause earns its place.
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 one-param read tool with full annotations and complete schema coverage, the description covers purpose and return fields well. Minor gap: no mention of what happens when the ID doesn't exist (error vs empty result).
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 coverage is 100% and the single 'id' parameter is fully documented in the schema. The description adds only the notion that it identifies an institution, so the baseline of 3 applies – nothing extra on format or lookup failure behavior.
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 ('Gets') and resource ('financial institution') plus the lookup key ('by its ID'), which distinguishes it from list_institutions and create/update/delete_institution siblings. It doesn't explicitly name the alternative list tool, but the single-entity framing is unambiguous.
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?
Usage is implied by 'by its ID' – fetch one known institution rather than enumerate. There is no explicit when-to-use/when-not guidance and no reference to list_institutions for the browse case, so an agent must infer the routing.
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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