list_services
List every service and client type Blue Dot Brdg (BLDT, India) publishes on bldt.in, with a summary, what it includes and the page to read.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List every service and client type Blue Dot Brdg (BLDT, India) publishes on bldt.in, with a summary, what it includes and the page to read.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose the return contents (summary, inclusions, page URL) and 'list' implies a safe read, but it doesn't state whether the list can be filtered, whether results are paginated, or that it is strictly non-mutating. Partial coverage for a zero-annotation tool.
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?
A single front-loaded sentence with no filler; the entity and domain appear immediately. Slightly dense in its parenthetical branding but every clause (summary, includes, page) conveys output content.
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 zero-parameter read tool with no output schema, the description adequately pre-describes the payload (summary, what it includes, the page to read). The only missing piece is a hint on how to pick this over recommend_services when the agent is deciding between browsing and recommending.
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 takes zero parameters, so there is nothing for the description to disambiguate and no risk of an agent passing wrong arguments. Baseline 4 applies.
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 a specific verb ('List') and resource ('every service and client type Blue Dot Brdg publishes on bldt.in'), plus what each entry contains. An agent can tell this is a catalog enumeration. It doesn't explicitly name how it differs from recommend_services, but 'list every' vs 'recommend' is fairly self-evident.
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?
Usage is implied by the enumeration framing — fetch the full catalog rather than ask for a recommendation — but there is no explicit 'use this when... use recommend_services instead when...' guidance. With siblings that overlap in topic, one routing sentence would have raised this considerably.
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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