list_pm_credentials
List stored venue credentials — metadata only, never material. Auth required.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List stored venue credentials — metadata only, never material. Auth required.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
With no annotations provided, the description carries the full burden, and it delivers meaningful behavioral context: 'never material' reassures the caller that secrets won't be exposed, and 'Auth required' sets expectations about authorization. It could go further by noting what happens on auth failure or whether results are paginated, but for a zero-parameter list, these two clausal disclosures address the most critical risks.
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 model of efficiency: a nine-word sentence followed by a two-word fragment delivers purpose, scope, return-type caveat, and auth requirement. Every phrase earns its place, and the key behavioral qualifier 'never material' is placed front-and-center after an em-dash for readability.
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?
Given the tool has zero parameters, no output schema, and no annotations, the description covers the essential ground: what it lists, what it returns, and what's required (auth). The only minor shortfall is the absence of any mention of pagination, ordering, or empty-credential-set behavior, but for a tool this simple the description feels nearly 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?
There are zero parameters, and per the rubric, a tool with no parameters earns a baseline of 4 since there is no schema gap for the description to compensate for. The description adds no parameter-related content, but none is needed because the schema is trivially complete at 100% coverage.
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 uses a specific verb+resource construction: 'List stored venue credentials' with a scope qualifier 'metadata only, never material' that precisely defines what the tool returns. This clearly differentiates from siblings like store_pm_credential and revoke_pm_credential, which are visibly different operations on the same resource type.
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 provides implicit usage context by noting 'Auth required' and clarifying that only metadata is returned, which hints at a safe, non-secret read operation. However, it never explicitly states when to prefer this over alternatives like check_pm_order or list_pm_orders, nor does it mention exclusions. The guidance is adequate but relies on the sibling names to convey the surrounding workflow.
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 targets a distinct resource and action. Within the prediction market domain, prepare vs create vs submit are clearly differentiated by signing model (client-signed vs server-signed). Even similar-sounding tools like check_spend and check_pm_order are unambiguously scoped to general spending vs PM orders, and their descriptions reinforce the boundary.
All 47 tools follow a consistent verb_noun pattern with lowercase snake_case. Verbs like get, list, create, cancel, revoke, prepare, submit, set, remove, and poll are used uniformly. There is no mixing of styles or vague verbs like 'process' or 'run', making the surface highly predictable.
47 tools is significantly above the 25-tool threshold for 'too many'. While the server covers a broad and complex domain (prediction markets, policy, delegations), the sheer count makes the surface heavy and potentially overwhelming. Some consolidation (e.g., merging related PM order operations) could reduce cognitive load without sacrificing functionality.
The tool set provides comprehensive lifecycle coverage across all major subdomains: authentication, policy versioning, delegation CRUD (prepare/confirm/list/get/revoke/renew), intent management, PM order flow (create/cancel/list/prepare/submit/check), credential management (store/list/revoke), balance and top-up operations, and account-level actions (export, offboard, panic). Minor omissions exist (e.g., no dedicated tool to view a single credential in detail or update an intent), but agents can work around these with existing tools.