List configs
portkey_list_configsList gateway configs (routing/fallback/retry/cache rulesets applied to requests). Portkey: GET /configs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| workspace_id | No | Scope configs to a workspace id/slug. |
portkey_list_configsList gateway configs (routing/fallback/retry/cache rulesets applied to requests). Portkey: GET /configs.
| Name | Required | Description | Default |
|---|---|---|---|
| workspace_id | No | Scope configs to a workspace id/slug. |
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, covering the safety profile. The description adds domain context about what configs are but no operational behavior such as pagination, return format, or filtering constraints beyond the schema, so it adds little beyond annotations.
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, front-loaded with the verb and resource. The endpoint reference is a minor addition but does not bloat the definition.
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 low-complexity list tool with a fully documented single parameter and readOnly annotations, the description covers purpose and resource meaning. It omits pagination or return-shape details, but annotations and low complexity make those minor gaps.
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 optional workspace_id parameter, so the schema already documents it. The description adds no parameter semantics, making the baseline 3 appropriate.
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 the specific verb 'List' and resource 'gateway configs', and defines what a config contains (routing/fallback/retry/cache rulesets). It distinguishes itself from sibling portkey_get_config through the List vs Get verb and names the underlying endpoint. An agent can select it without opening other schemas.
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 when-to-use guidance or alternatives are named. It does not tell the agent when to choose this tool over portkey_get_config or other list tools; usage is only implied by the verb 'List'.
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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