get_config_ids
Returns all valid configId values for this server. Call first to discover which network/deployment to use. No auth required.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns all valid configId values for this server. Call first to discover which network/deployment to use. No auth required.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true, and the description adds that no auth is required, which is useful beyond the structured data. It also states what it returns (valid configId values), making behavior transparent.
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 two concise sentences with no extraneous information. It is front-loaded with the core purpose and immediately gives usage context.
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 simplicity of the tool (no parameters, no output schema) and the rich annotations, the description is complete. It explains what it returns and when to use it, which is adequate for an agent to invoke correctly.
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?
The tool has zero parameters, and schema coverage is 100%. According to the guidelines, 0 params yields a baseline of 4. No additional parameter description is needed.
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 tool returns all valid configId values and that it should be called first to discover which network/deployment to use. This distinguishes it from sibling tools which are mostly transactional.
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 explicitly says 'Call first to discover which network/deployment to use,' providing clear context for when to use this tool. It does not list alternatives or when not to use it, but for a discovery tool this is sufficient.
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 distinct purposes with detailed descriptions, but there is overlap among multiple commit_to_* and sign_receive_* variants that could confuse an agent. The tool boundaries are clear for the core workflow, but the sheer number of similar operations slightly reduces clarity.
Tool names predominantly follow a verb_noun pattern with underscores (e.g., commit_to_offer, create_seller). Some inconsistency exists with mixed verbs like 'store_', 'sign_', 'send_', but the pattern is largely predictable and readable.
With 63 tools, the server is heavy but covers a complex protocol (offer lifecycle, disputes, metadata, meta-transactions). The count is borderline; some tools (e.g., multiple signing helpers) could be consolidated, but the scope justifies the size.
The tool set covers the core protocol flows comprehensively: create, commit, redeem, dispute, resolve, void, and metadata storage. Minor gaps exist (e.g., no dedicated 'get_offer_by_id' but filtering suffices), and meta-transaction support is extensive.