Edinburgh Festivals MCP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The three tools have clearly distinct purposes: one searches for events, one searches for venues, and one calculates routes between venues. There is no overlap in functionality, making it easy for an agent to select the right tool for each task.
Naming Consistency5/5All tool names follow a consistent snake_case pattern with the prefix 'edinburgh_festival_' followed by a descriptive noun phrase (events, venue_routes, venues). This uniformity makes the tool set predictable and easy to understand.
Tool Count3/5With only three tools, the server feels somewhat thin for a festivals domain that might benefit from additional operations like booking tickets, getting event details, or managing schedules. However, the tools cover core search and navigation needs, keeping it borderline but functional.
Completeness3/5The tools provide good search capabilities for events and venues, plus route calculation, but there are notable gaps. For example, there is no tool to retrieve detailed information about a specific event or venue, update data, or handle user interactions like favorites or reviews, which limits comprehensive festival management.
Average 2.6/5 across 3 of 3 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 is passing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add
glama.jsonto the root of your repository:{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": [ "your-github-username" ] }Then . Browse examples.
Add related servers to improve discoverability.
How to sync the server with GitHub?
Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.
To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
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
- Behavior1/5
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 but offers none. It doesn't indicate whether this is a read-only operation, what permissions might be needed, whether it's paginated (though parameters suggest it might be), rate limits, or what the search returns. The description is purely functional without any 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 extremely concise at just three words, with zero wasted language. It's front-loaded with the core action ('Search') and resource. While it lacks detail, it's structurally efficient and doesn't bury key information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 6 parameters with 0% schema coverage, no annotations, and an output schema (which helps but doesn't compensate for input gaps), the description is inadequate. It doesn't explain what the search does, how parameters interact, or what results to expect. For a search tool with multiple filtering options, this leaves too much undefined for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, meaning none of the 6 parameters have descriptions in the schema. The tool description doesn't mention any parameters at all, failing to compensate for this gap. Parameters like 'festival', 'postcode', 'name', 'year', 'number_of_results', and 'page' are completely undocumented in both schema and description, leaving their semantics unclear.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Search Edinburgh festival venues' clearly states the verb ('search') and resource ('Edinburgh festival venues'), making the basic purpose understandable. However, it doesn't distinguish this tool from its sibling 'edinburgh_festival_events' (which presumably searches events rather than venues) or 'edinburgh_festival_venue_routes' (which likely provides routing information). The description is functional but lacks specificity about what makes this search tool unique.
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 its siblings. There's no mention of alternatives, exclusions, or specific contexts where this tool is preferred. The agent must infer usage from the tool name alone, which is insufficient for optimal tool selection.
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?
With no annotations provided, the description carries full burden but provides minimal behavioral information. It mentions pagination and a 100-result limit, but doesn't cover important aspects like authentication requirements, rate limits, error conditions, or what happens with invalid parameters. The return format is hinted at but not explained.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5Is the description appropriately sized, front-loaded, and free of redundancy?
Poorly structured with parameter documentation mixed into the description rather than separate. Contains redundant information (datetime_from appears twice), contradictory statements ('this year's' vs year parameter), and incorrect parameter descriptions. The single opening sentence is followed by a parameter dump without clear organization.
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 11 parameters with no schema descriptions and no annotations, the description provides substantial parameter information but has significant gaps. The presence of an output schema reduces the need to describe return values, but behavioral aspects like authentication, error handling, and rate limits are missing. The contradictory statements about temporal scope undermine 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?
With 0% schema description coverage, the description provides substantial parameter documentation, explaining 11 parameters with examples and constraints. However, there are issues: 'venue_name' incorrectly repeats the 'genre' description, and 'datetime_from' appears twice with different explanations. Still, it compensates well for the schema gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with 'Searches this year's Edinburgh festival events' which clearly states the verb (search) and resource (events), but it's vague about scope - 'this year's' contradicts the 'year' parameter allowing all years. It doesn't distinguish from sibling tools like venue-related tools, though the purpose is reasonably clear.
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?
No guidance on when to use this tool versus the sibling venue tools (edinburgh_festival_venue_routes, edinburgh_festival_venues). The description mentions searching 'this year's' events but the year parameter defaults to all years, creating confusion about temporal scope without explicit usage context.
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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool calculates routes but doesn't describe what the output includes (e.g., distance, time, directions), whether it's real-time or cached, any rate limits, or authentication needs. This leaves significant gaps for a routing tool.
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, clear sentence with no wasted words. It's front-loaded and efficiently communicates the core purpose without unnecessary elaboration, making it easy to parse quickly.
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 has an output schema (which should cover return values), the description's job is lighter. However, with no annotations and low schema coverage, it still lacks details on behavioral aspects like route type or constraints. It's minimally adequate but could be more informative for a routing operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, so the description must compensate. It mentions 'venues' but doesn't clarify what format the origin and destination parameters should be in (e.g., venue names, IDs, addresses) or provide examples. This adds minimal value beyond the schema's basic property names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Calculate route between venues' clearly states the action (calculate route) and resource (venues), which is adequate. However, it doesn't specify what type of route (walking, driving, etc.) or distinguish it from potential sibling tools like 'edinburgh_festival_venues' which might provide venue information rather than routing.
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 tools 'edinburgh_festival_events' or 'edinburgh_festival_venues', nor does it specify prerequisites like needing venue names from another tool first. Usage context is implied but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GitHub Badge
Glama performs regular codebase and documentation scans to:
- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
Our badge communicates server capabilities, safety, and installation instructions.
Card Badge
Copy to your README.md:
Score Badge
Copy to your README.md:
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/richarda23/edfest-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server