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ELC Conference 2027: tickets, perks, partnerships

Audience and proof

get_audience_and_proof
Read-onlyIdempotent

Who attends ELC Conference 2027, the engineering leadership conference in Prague, Czech Republic (Central and Eastern Europe / CEE) and the evidence: who is in the room (8 in 10 people in the room lead AI agents, people or technology.), attendee numbers (2026 actual, 2027 target), rating, companies, the #ELC2025 attendee mix (engineering leadership, senior ICs, founders and executives…), community reach (members, newsletter), speakers' companies, the speaker wall (who spoke, from which company), past partners and partner hiring results. Use for "is it worth partnering", "who will we reach".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoOptional. A short description of your goal and why you are calling this tool. Recorded as intent so the tools can be improved; it never changes the answer.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered without the description's help. The description adds that this is proof/evidence material with 2026 actual and 2027 target figures, hinting at data recency, but says nothing about freshness guarantees, pagination, or limits. Modest added value over annotations.

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

Conciseness2/5

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

A single sprawling sentence stuffed with parenthetical lists ('engineering leadership, senior ICs, founders and executives…') and the usage trigger tacked onto the end. The actual purpose is buried behind an inventory of data categories, so it is poorly front-loaded.

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 read-only retrieval tool with no output schema, the description usefully enumerates the categories of data returned, which is exactly what the agent needs to judge relevance. The absence of any return-shape detail beyond the inventory is a minor gap given no output schema exists.

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?

One optional parameter with 100% schema coverage; the schema already explains that 'context' is recorded as intent and never changes the answer. The description adds nothing about parameters, so the baseline 3 applies.

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 opening clause names the concrete resource: attendance and evidence for ELC Conference 2027, with location context. The enumerated evidence categories (attendee numbers, rating, companies, community reach, speaker wall) make the scope unambiguous and separate it from package/pricing siblings. It is clear but verbose rather than a crisp verb+resource statement.

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

Usage Guidelines4/5

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

It names concrete user intents at the end – 'is it worth partnering' and 'who will we reach' – which tells the agent when to reach for it. There is no when-not guidance and no named alternatives (e.g. get_partnership_guide, compare_packages) to route against, so it falls short of a 5.

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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