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Conferences in Amsterdam

conferences
Read-onlyIdempotent

Upcoming Amsterdam conferences, each date checked on the conference's own page: up to 10, soonest first, with venue, field and links. Example: month='2026-12'.

Input Schema

NameRequiredDescriptionDefault
fieldNoOptional: tech (Tech & AI), medical (Medical & health), science (Science & engineering), business (Business & finance), environment (Environment & energy), education (Education & society), other (Other)
monthNoOptional month in YYYY-MM, e.g. 2026-12. Default: from today on.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuine behavior beyond them: a hard cap of 10 results, soonest-first ordering, and the fact each date is verified on the conference's own page, plus what each record carries (venue, field, links).

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

Conciseness4/5

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

One dense sentence plus a short example, front-loaded with the resource and scope. The example duplicates the schema's YYYY-MM pattern, so it is slightly redundant rather than wasteful.

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

Completeness4/5

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

For a two-optional-parameter lookup with no output schema, the description covers result size, ordering, return contents and data provenance. It does not say how empty results or a month with no conferences are reported, which is a minor gap given the tool's simplicity.

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% and the enum for 'field' is fully documented, so the schema carries parameter meaning. The description only echoes the month format with an example ('2026-12'), which the schema's pattern and description already cover, and says nothing about the field filter.

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?

States a specific verb-less but precise resource and scope: upcoming Amsterdam conferences, with the result cap and ordering. An agent can tell this is a local-events lookup, though the description never names a sibling like whats_on, so differentiation is left to inference.

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?

Usage is implied by 'Upcoming' and the note that the default window starts from today, which tells the agent this is a forward-looking listing. There is no explicit when-to-use versus whats_on or guide_search, and no statement about what happens for past months or empty results.

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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