aria-mcp-tvguide-dk
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Each tool has a clearly distinct purpose: list_channels discovers channels, search_program searches by title, tonight returns prime-time listings, and whats_on gets current or scheduled program for a channel. No overlap.
Naming Consistency4/5Most tools follow a verb_noun pattern (list_channels, search_program) but 'tonight' is a single word and 'whats_on' uses a contraction. Still readable and predictable.
Tool Count5/5With 4 tools, the set covers essential TV guide operations without bloat. Each tool serves a necessary function, and the count feels well-scoped for the domain.
Completeness4/5The set covers channel discovery, search, prime-time, and current viewing. A minor gap is the lack of a full daily schedule beyond prime-time, but common queries are addressed.
Average 4.3/5 across 4 of 4 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 1 commit in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
This repository is licensed under MIT License.
This repository includes a README.md file.
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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
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description adds a key behavioral trait: case-insensitive substring matching. However, it does not disclose other important aspects such as rate limits, authentication needs, pagination, or what happens with no results. It provides some but not comprehensive behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences long, each serving a purpose: stating the function, adding behavioral detail, and giving usage examples. It is front-loaded with the core purpose and contains no fluff.
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?
Despite no output schema, the description adequately covers input parameters and defaults. However, it fails to describe the return format (e.g., programme titles, times, channels) or any pagination. For a search tool, this gap limits completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, but the description adds meaningful context beyond the schema: it clarifies that the title search is case-insensitive and matches substrings, states defaults for channels and date, and explains the 'Optional list of channel names or ids'.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Search for Danish TV programmes by title across one or more channels for a given date.' It includes specific examples like 'Klovn', 'Nyhederne', and distinguishes from siblings like list_channels or tonight by focusing on substring search.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for finding specific shows by title, but does not explicitly differentiate from sibling tools like 'tonight' or 'whats_on' or state when not to use it. No alternative tools are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavioral traits. It discloses that times are in Europe/Copenhagen and includes fields like duration and categories, but does not mention error handling (e.g., if channel is invalid), rate limits, or side effects. The description is adequate but not exhaustive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-organized paragraph that starts with the core purpose, includes example queries, and clarifies parameter usage. Every sentence contributes meaning without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given two parameters with full schema coverage, no output schema, and no annotations, the description covers essential aspects: purpose, parameter format, and example usage. It could be slightly more complete by mentioning what happens if no programme is found, but overall it is sufficient for a straightforward query tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with both parameters described. The description adds value by explaining that the 'channel' parameter accepts names or numeric IDs and that the 'when' parameter supports ISO 8601 or HH:MM shorthand, which goes beyond the schema's basic description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns the programme currently airing on a Danish TV channel or at a specified time, listing included fields (title, times, duration, etc.) and providing example queries. It distinguishes from siblings like 'list_channels' and 'search_program' by focusing on current/specific-time airings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives explicit usage examples (e.g., 'hvad går der på DR1 nu?'), which clearly indicate when to use the tool. However, it does not explicitly state when not to use it or compare to alternatives like 'tonight', leaving some implicit guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Describes the tool as a list operation with an optional filter, but lacks mention of any potential limitations (e.g., pagination, rate limits, or destructive effects). Since no annotations exist, the description carries the burden; it is adequate but could be more explicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences: first describes the action, second the filter, third the usage context. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity and lack of output schema, the description covers return values (id and canonical name), the optional filter, and its role in relation to sibling tools completely.
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 schema already documents the 'filter' parameter with case-insensitive semantics. The description repeats this but adds no new parameter-level details beyond the schema, so baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists Danish TV channels with id and canonical name, and positions it as a discovery tool for other sibling tools, distinguishing it well.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states 'Use this to discover channel names before calling whats_on, tonight, or search_program,' providing clear when-to-use and alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Describes key behaviors: time range, default channels, and optional override. No annotations exist, but description is adequate for a read-only operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with critical information front-loaded. No unnecessary words, and the usage guidance is efficiently appended.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity (one optional parameter, no output schema), the description covers purpose, usage, and behavior sufficiently. Could mention that it returns data for 'today' but it's implied.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already describes the parameter. The description adds context that the channel list overrides defaults, which slightly enhances understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool returns prime-time TV listings for today, specifying the time range and default channel set. It distinguishes itself from siblings like 'list_channels' and 'search_program' by focusing on prime-time tonight.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly provides when to use the tool with specific example queries ('hvad går der i fjernsynet i aften?'), guiding the agent appropriately.
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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