Delete Secret
delete_secretDelete one app secret by key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| key | Yes | Secret key name | |
| app_id | Yes | The app ID |
delete_secretDelete one app secret by key.
| Name | Required | Description | Default |
|---|---|---|---|
| key | Yes | Secret key name | |
| app_id | Yes | The app ID |
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?
Annotations already declare destructiveHint=true and readOnlyHint=false, so the description does not need to restate these. It adds the nuance that deletion is by key, but does not disclose additional behavioral details such as irreversibility or permission requirements. The description is consistent with annotations but adds limited context beyond them.
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, concise sentence with no superfluous words. It is front-loaded with the core action and resource, making it immediately scannable.
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 two-parameter deletion tool with no output schema, the description provides enough information for an agent to use it correctly. The destructive nature is covered by annotations, and the schema documents the parameters. Nothing critical is missing for the described scope.
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?
Both parameters (app_id and key) have descriptions in the schema, covering 100% of the parameters. The description does not add any extra semantic information beyond what the schema provides, so the baseline score of 3 is 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?
The description clearly states the operation ('Delete'), the resource ('app secret'), and the selection criteria ('by key'). It is unambiguous and distinguishable from sibling tools like list_secret_keys and set_secret, which have different purposes.
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 when to use this tool (when you need to delete a specific app secret), but it does not explicitly state alternatives or provide exclusions. No guidance is given about when not to use it or how it compares to set_secret or list_secret_keys.
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.
Most tools have clearly distinct purposes with detailed descriptions, but there are some overlapping pairs like read_app_file/read_app_files and create_entity_records vs seed_entity, which could cause misselection. Singular/plural variants and compatibility tools introduce minor ambiguity, but the majority are well-separated.
Tool names predominantly follow a consistent verb_noun pattern (e.g., create_app, get_entities, delete_secret). There are some variations like 'agency_create_client' and 'seed_entity' that deviate slightly, but the overall convention is predictable and readable.
With 82 tools, the server is far above the typical range and feels overwhelming. Even for a full platform API, the count is extreme and likely increases selection complexity. A more curated set would improve navigability without sacrificing capability.
The tool surface is exceptionally comprehensive, covering app lifecycle, file operations, entity CRUD, versioning, A/B testing, secrets, integrations, domains, agents, scheduling, policies, and member management. No obvious missing operations for the platform's scope; it even includes validation and workflow guidance tools.