list_modes
List failure modes, optionally filtered to a single category by category ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Optional category ID to filter by, e.g. 'factuality'. Omit to list all modes. |
List failure modes, optionally filtered to a single category by category ID.
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Optional category ID to filter by, e.g. 'factuality'. Omit to list all modes. |
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?
No annotations are provided, so the description bears full burden. It only states the basic action and filtering, but omits important behavioral traits such as pagination, sorting, error handling, or whether the operation is read-only.
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, well-structured sentence that front-loads the core purpose without any wasted words.
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 list tool with one optional parameter and no output schema, the description is nearly complete. It could mention the return format (list of failure modes) but the core functionality is clear.
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% with a clear description for the single parameter. The description adds the action context but does not provide additional semantics beyond what the schema already offers.
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 states the action (list) and resource (failure modes), and includes the filtering option by category ID. It distinguishes from siblings like get_failure_mode (single) and list_categories (categories).
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?
The description implies usage (list all or filter by category) but does not explicitly say when to use this vs alternatives like search_failure_modes or when not to use it.
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: retrieving a single record by ID, listing categories, listing modes (optionally filtered), and searching by symptom text. No overlap or ambiguity.
All names follow a consistent verb_noun pattern using snake_case: get_failure_mode, list_categories, list_modes, search_failure_modes. The pattern is uniform and predictable.
Four tools is well-scoped for a read-only taxonomy explorer: one for retrieval, two for listing (categories and modes), and one for search. Each tool earns its place.
The tool surface covers all essential operations for exploring failure modes: listing categories, listing modes, searching, and getting details. No obvious gaps for the stated domain.