omdb-mcp
Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
Each tool targets a distinct operation: lookup by IMDb ID, by title, episode details, season listing, and free-text search. There is no overlap in functionality, and the descriptions clearly differentiate the use cases.
Naming Consistency4/5Most tools follow a 'get_X' pattern, but 'search_movies' uses 'search' instead of 'get', and 'get_by_imdb_id' and 'get_by_title' use 'get_by' rather than 'get'. This minor inconsistency does not hinder readability.
Tool Count5/5With 5 tools, the server covers the core OMDb operations—title lookup, ID lookup, season and episode retrieval, and text search—without unnecessary bloat. The count is well-scoped for a movie database API.
Completeness4/5The tool surface covers the primary OMDb functionality (search, details by ID/title, season/episode). Missing are explicit tools for ratings or poster retrieval, but these are likely included in the results of existing tools, so gaps are minor.
Average 3.8/5 across 5 of 5 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
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
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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?
No annotations are provided, so the description must carry the burden. It only says 'look up' without disclosing read-only nature, auth requirements, or API limitations. Minimal behavioral disclosure.
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 concise sentence, front-loaded with the core purpose. No unnecessary words.
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 simplicity (2 params, output schema exists), the description is adequate but minimal. It could mention that it returns details for a single title, but the output schema covers that.
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?
Schema coverage is 100% with descriptions for both parameters. The description adds an example for imdb_id but does not add meaning beyond the schema. Baseline of 3 is appropriate.
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: look up a title by IMDb ID, with an example provided. It distinguishes implicitly from siblings which use different identifiers (title, episode, season, 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 when you have an IMDb ID, but does not explicitly state when to use this tool versus alternatives (e.g., get_by_title). No exclusions or prerequisites are mentioned.
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 full burden. It only states the purpose and omits behavioral traits such as pagination, rate limits, authentication, or data freshness. The parameter 'page' suggests pagination but is not elaborated in the description.
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?
A single, well-structured sentence that front-loads the core purpose. No extraneous words.
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?
With an output schema present and 4 parameters, the description is minimal. It provides the essential purpose but lacks details on result format, pagination, or filtering capabilities beyond what the schema already conveys.
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?
Schema description coverage is 100%, so baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions; it merely repeats the free-text nature.
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 action ('Search'), the resource ('OMDb'), and the kinds of items ('movies/series/episodes'), and the method ('by free-text title'). This distinguishes it from sibling tools that fetch by exact IMDB ID or exact title.
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 free-text search versus exact match siblings, but it does not explicitly state when to prefer this tool over alternatives like get_by_imdb_id or get_by_title. No when-not or prerequisite information is provided.
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 carries the full burden. It mentions the OMDb `t` parameter but does not disclose behavior like rate limits, what happens if the title is not found, or authentication needs. It is adequate but lacks depth.
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 sentence that is front-loaded with the main action. Every word earns its place, making it highly concise and efficient.
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 presence of an output schema, the description does not need to explain return values. It covers the main purpose and parameter usage adequately. The sibling tools are clear, and the tool is simple, so completeness is good.
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?
Schema description coverage is 100%, so the schema already documents all parameters. The tool description adds no extra meaning beyond what the schema provides, justifying the baseline score of 3.
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 'Look up a single title by exact name', specifying the verb (look up), resource (single title), and method (exact name). It distinguishes from siblings like 'get_by_imdb_id' (different lookup method) and 'search_movies' (broad search).
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 implies use when you have the exact title. Although it does not explicitly state exclusions or alternatives, the sibling list provides context (e.g., use 'get_by_imdb_id' for IMDB ID). The description could be more explicit but is clear enough.
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 bears full responsibility for behavioral cues. It discloses the primary action (listing episodes) and preference for 'imdb_id', but fails to specify behavior when neither 'imdb_id' nor 'title' is provided (both are optional in schema), or potential side effects like rate limiting or authentication requirements.
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 extremely concise at two sentences, front-loading the core purpose. Every word is purposeful with no fluff.
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?
The tool is simple and the output schema exists (confirmed by context signals), so return details are covered. The description specifies the input requirements and preference. It doesn't mention pagination or error handling, but for a basic listing tool, this seems adequate.
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?
Input schema coverage is 100%, with clear descriptions for each parameter. The description adds that 'imdb_id' is preferred and season is 1-indexed, but these are already in the schema. No additional semantic value beyond what the schema provides.
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 all episodes in a given season of a series, with a specific verb ('list') and resource ('episodes in a given season'). It also mentions using either 'imdb_id' or 'title', distinguishing it from sibling tools like 'get_by_imdb_id' and 'get_by_title', which search for series metadata.
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 provides usage guidance by stating 'Provide either `imdb_id` (preferred) or `title`', indicating when to use each parameter. However, it does not explicitly exclude this tool over alternatives like 'get_episode' for individual episodes, or mention prerequisites, but the context is clear enough.
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 provided. Description implies a read operation but does not confirm safety, auth needs, or other behavioral traits. For a lookup tool, minimal disclosure, but full burden on description is partially met.
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, no waste. First sentence states purpose, second provides key usage guidance. Well front-loaded.
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?
With output schema present, return values need not be explained. However, description lacks guidance on the optional plot parameter and the case when both imdb_id and title are omitted (schema allows this, but description seemingly requires one). Adequate but with notable gaps.
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 covers 100% of parameters. Description adds value by grouping imdb_id and title as alternative identifiers with preference for imdb_id, and clarifies they are used together with season/episode. Slight conflict: schema marks imdb_id and title as optional (default null), but description implies one must be provided.
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 looks up a specific TV episode. It distinguishes from siblings like get_season (whole season) and search_movies (search) by specifying exact episode retrieval.
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?
It instructs to provide either imdb_id (preferred) or title plus season and episode, giving clear context. However, it does not explicitly exclude cases for siblings like get_by_imdb_id or get_by_title, though the episode focus differentiates.
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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