MCP TMAP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools have completely distinct purposes: one is for geocoding addresses to coordinates, and the other is for retrieving public transit routes between coordinates. There is no overlap in functionality, making it impossible to confuse them.
Naming Consistency2/5The naming is inconsistent: 'fullTextAddressGeocoding' uses camelCase, while 'publicTransitRoutes' uses a different style with mixed lower and upper case. There is no clear pattern, and the verb usage differs ('fullTextAddress' vs. 'publicTransit'), making it chaotic.
Tool Count2/5With only 2 tools, the server feels thin for a mapping/transit domain. It lacks basic operations like reverse geocoding, route alternatives, or transit schedule details, making it under-scoped for typical navigation or location-based tasks.
Completeness2/5The server is severely incomplete for a mapping/transit service. It misses essential operations such as reverse geocoding, route optimization, transit stop information, or map data retrieval. The two tools provide only a narrow slice of functionality, leading to significant gaps in agent workflows.
Average 3.1/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
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 states the basic operation (geocoding) and return structure, but lacks critical details: it doesn't specify whether this is a read-only operation, potential side effects, error handling, rate limits, authentication needs, or accuracy considerations. For a geocoding tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is efficiently structured with a clear purpose statement followed by Args and Returns sections. Every sentence earns its place by defining the tool's function and output format. However, the Returns section could be more concise by combining the list items into a single sentence, and the front-loading is slightly weakened by separating the purpose from the parameter details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (geocoding with one parameter), no annotations, and no output schema, the description is minimally complete. It covers the basic operation and return structure but lacks context about the geocoding service's limitations, coordinate system, or how to handle ambiguous addresses. The absence of output schema means the description must explain returns, which it does adequately but not comprehensively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaningful context for the single parameter 'address' by explaining it's 'address to convert,' which clarifies its purpose beyond the schema's minimal title 'Address.' However, with 0% schema description coverage and only one parameter, the description compensates adequately but doesn't provide format examples, validation rules, or edge cases. The baseline for one parameter with low coverage is appropriately met.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Converts the given address to coordinates (geocoding).' This specifies the verb ('converts') and resource ('address to coordinates'), making the function unambiguous. However, it doesn't explicitly differentiate from the sibling tool 'publicTransitRoutes', which appears to serve a different purpose (routing vs. geocoding).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention the sibling tool 'publicTransitRoutes' or any other geocoding options, nor does it specify prerequisites, constraints, or typical use cases. The only implied usage is for address-to-coordinate conversion, but no contextual boundaries are defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that 'searchTime' is used to indicate 'whether transportation is in operation' and references 'service' in the response, but doesn't explain authentication needs, rate limits, error conditions, or what happens if no routes are found.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with clear sections for Args and Returns, making it easy to parse. However, the return value section is somewhat verbose with nested bullet points that could be simplified, and the opening sentence could be more front-loaded with key information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (6 parameters, no annotations, no output schema), the description provides good parameter documentation but lacks behavioral context. It explains what the tool returns in detail, which compensates for the missing output schema, but doesn't cover error handling, rate limits, or prerequisites.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description fully compensates by providing detailed parameter explanations beyond the schema. It explains what each parameter represents (e.g., 'longitude of the starting point (WSG84)'), clarifies the 'language' parameter's enum values (0 for Korean, 1 for English), and provides context for 'searchTime' as optional with operational status implications.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool 'retrieves public transportation routes from start to destination,' which is a specific verb+resource combination. However, it doesn't differentiate from its sibling tool 'fullTextAddressGeocoding,' which appears to be a different geocoding function rather than a route-finding alternative.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives or in what context. It mentions the sibling tool 'fullTextAddressGeocoding' but doesn't explain how they relate or when to choose one over the other.
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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