get_registrar_analysis
Registrar (过户登记处) performance comparison across IPOs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Registrar (过户登记处) performance comparison across IPOs.
| 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?
With no annotations, the description carries the full burden of behavioral disclosure. It only states the high-level purpose and says nothing about what the output looks like, whether it is a ranking or raw comparison, how data is aggregated, or any limitations. This is minimal behavioral information.
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. The parenthetical translation adds precise context without bloating the text. Every word earns its place.
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 tool, the invocation contract is complete (no arguments needed). However, the description gives no sense of the return value shape—whether 'performance comparison' means a ranking table, metrics, or narrative—and with no output schema, this omission could cause an agent to call it for the wrong purpose. Given the low complexity, a 3 is appropriate.
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, so the input schema already covers everything (vacuously). No parameter explanations are needed, and the baseline of 4 applies because the description cannot add meaning where there are no parameters.
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 specific verb-resource combination: 'performance comparison' of 'Registrar ... across IPOs.' The Chinese parenthetical clarifies the domain. However, it does not distinguish this from the closely named sibling get_registrar_research, so it lacks the full discriminative power of a 5.
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?
No guidance is provided about when to choose this tool over the many similar comparison/ranking siblings (get_sponsor_ranking, get_underwriter_ranking, get_registrar_research, etc.). There are no exclusions, alternatives, or context cues, leaving selection entirely to inference.
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.