Get my notifications
get_my_notificationsList notifications about your contracts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | Yes |
get_my_notificationsList notifications about your contracts.
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | Yes |
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 of behavioral disclosure. It indicates a read-only listing operation, but does not mention pagination, ordering, filtering, authorization requirements, or what the response contains.
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, front-loaded sentence with no filler or redundant information. It is appropriately concise for the simplicity of the tool.
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?
The description is minimally adequate for a simple listing operation, but with no output schema, no annotations, and no parameter-level explanation, an agent gets limited guidance beyond the surface behavior. Some context about expected results or usage context would improve completeness.
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 0%, and the description does not mention the required 'apiKey' parameter or explain how it influences the results. The tool definition provides no compensating meaning for the single required parameter.
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 states a clear action ('List') and a specific resource ('notifications about your contracts'), which is distinguishable from the sibling tools like get_my_transactions. It does not explicitly name an alternative, but the resource is concrete enough.
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?
There is no guidance on when to use this tool versus alternatives, no exclusions, and no mention of prerequisites. The intended use must be inferred entirely from the tool name and short description.
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 lifecycle action or query: registration, contract creation, delivery submission, verification, settlement, notifications, and transaction listing. No two tools have overlapping purposes.
All tool names follow a consistent snake_case verb_noun pattern, such as create_contract, submit_delivery, and verify_delivery. The naming style is uniform across the entire set.
Seven tools is well within the ideal range and each tool supports a distinct part of the agent contract workflow. The count feels appropriately scoped without unnecessary redundancy.
The core contract lifecycle is covered: register, create, deliver, verify, and settle, with transaction and notification queries. Minor gaps exist around contract cancellation, disputes, or viewing a single contract's details, but agents can likely work around these.