Skip to main content
Glama
ezequiel-da-silva

erickwendel-contributions-mcp

get_talks

Filter and paginate Erick Wendel's talks by year, city, language, country, or title. Optionally count talks grouped by language, country, or city.

Instructions

Get a list of talks with optional filtering and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoFilter talks by ID
cityNoFilter talks by city
skipNoNumber of talks to skip
yearNoFilter talks by year
limitNoMaximum number of talks to return
titleNoFilter talks by title
countryNoFilter talks by country
group_byNoGroup counts by a specific field (language, country, city)
languageNoFilter talks by language (e.g., 'spanish', 'english', 'portuguese' or direct codes like 'es', 'en', 'pt-br')
count_onlyNoIf true, returns only the count without talk details
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden. It mentions optional filtering and pagination, adding some behavioral context. However, it doesn't disclose details like whether count_only changes the response shape, how group_by interacts with filters, or any rate limits. It's acceptable but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that captures the core functionality without waste. It is front-loaded with the main purpose and includes key capabilities (filtering, pagination) in an efficient way.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 10 parameters, no output schema, and no annotations, the description is minimal. It covers the basic purpose and mentions pagination/filtering, but it does not explain return values, edge cases, or how parameters combine. The schema descriptions help, but the overall context is not fully complete for a complex tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, meaning every parameter has a description in the schema. The tool description itself lists no parameter details, but since the schema already documents all ten parameters, the description does not need to repeat them. The baseline of 3 is appropriate because the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool lists talks with optional filtering and pagination, which is clear and specific. It does not explicitly distinguish it from sibling tools like get_posts or get_videos, but the resource 'talks' is unique enough that it's not misleading. The verb 'get a list' is clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this is for retrieving talk data, but it does not provide explicit when-to-use guidance or contrast with alternatives. Sibling tools are present, but no exclusions or preferred scenarios are given, so usage context is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

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/ezequiel-da-silva/erickwendel-contributions-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server